Overview

Brought to you by YData

Dataset statistics

Number of variables434
Number of observations590540
Missing cells115523073
Missing cells (%)45.1%
Total size in memory2.5 GiB
Average record size in memory4.5 KiB

Variable types

Numeric403
Text31

Alerts

card2 has 8933 (1.5%) missing valuesMissing
addr1 has 65706 (11.1%) missing valuesMissing
addr2 has 65706 (11.1%) missing valuesMissing
dist1 has 352271 (59.7%) missing valuesMissing
dist2 has 552913 (93.6%) missing valuesMissing
P_emaildomain has 94456 (16.0%) missing valuesMissing
R_emaildomain has 453249 (76.8%) missing valuesMissing
D2 has 280797 (47.5%) missing valuesMissing
D3 has 262878 (44.5%) missing valuesMissing
D4 has 168922 (28.6%) missing valuesMissing
D5 has 309841 (52.5%) missing valuesMissing
D6 has 517353 (87.6%) missing valuesMissing
D7 has 551623 (93.4%) missing valuesMissing
D8 has 515614 (87.3%) missing valuesMissing
D9 has 515614 (87.3%) missing valuesMissing
D10 has 76022 (12.9%) missing valuesMissing
D11 has 279287 (47.3%) missing valuesMissing
D12 has 525823 (89.0%) missing valuesMissing
D13 has 528588 (89.5%) missing valuesMissing
D14 has 528353 (89.5%) missing valuesMissing
D15 has 89113 (15.1%) missing valuesMissing
M1 has 271100 (45.9%) missing valuesMissing
M2 has 271100 (45.9%) missing valuesMissing
M3 has 271100 (45.9%) missing valuesMissing
M4 has 281444 (47.7%) missing valuesMissing
M5 has 350482 (59.3%) missing valuesMissing
M6 has 169360 (28.7%) missing valuesMissing
M7 has 346265 (58.6%) missing valuesMissing
M8 has 346252 (58.6%) missing valuesMissing
M9 has 346252 (58.6%) missing valuesMissing
V1 has 279287 (47.3%) missing valuesMissing
V2 has 279287 (47.3%) missing valuesMissing
V3 has 279287 (47.3%) missing valuesMissing
V4 has 279287 (47.3%) missing valuesMissing
V5 has 279287 (47.3%) missing valuesMissing
V6 has 279287 (47.3%) missing valuesMissing
V7 has 279287 (47.3%) missing valuesMissing
V8 has 279287 (47.3%) missing valuesMissing
V9 has 279287 (47.3%) missing valuesMissing
V10 has 279287 (47.3%) missing valuesMissing
V11 has 279287 (47.3%) missing valuesMissing
V12 has 76073 (12.9%) missing valuesMissing
V13 has 76073 (12.9%) missing valuesMissing
V14 has 76073 (12.9%) missing valuesMissing
V15 has 76073 (12.9%) missing valuesMissing
V16 has 76073 (12.9%) missing valuesMissing
V17 has 76073 (12.9%) missing valuesMissing
V18 has 76073 (12.9%) missing valuesMissing
V19 has 76073 (12.9%) missing valuesMissing
V20 has 76073 (12.9%) missing valuesMissing
V21 has 76073 (12.9%) missing valuesMissing
V22 has 76073 (12.9%) missing valuesMissing
V23 has 76073 (12.9%) missing valuesMissing
V24 has 76073 (12.9%) missing valuesMissing
V25 has 76073 (12.9%) missing valuesMissing
V26 has 76073 (12.9%) missing valuesMissing
V27 has 76073 (12.9%) missing valuesMissing
V28 has 76073 (12.9%) missing valuesMissing
V29 has 76073 (12.9%) missing valuesMissing
V30 has 76073 (12.9%) missing valuesMissing
V31 has 76073 (12.9%) missing valuesMissing
V32 has 76073 (12.9%) missing valuesMissing
V33 has 76073 (12.9%) missing valuesMissing
V34 has 76073 (12.9%) missing valuesMissing
V35 has 168969 (28.6%) missing valuesMissing
V36 has 168969 (28.6%) missing valuesMissing
V37 has 168969 (28.6%) missing valuesMissing
V38 has 168969 (28.6%) missing valuesMissing
V39 has 168969 (28.6%) missing valuesMissing
V40 has 168969 (28.6%) missing valuesMissing
V41 has 168969 (28.6%) missing valuesMissing
V42 has 168969 (28.6%) missing valuesMissing
V43 has 168969 (28.6%) missing valuesMissing
V44 has 168969 (28.6%) missing valuesMissing
V45 has 168969 (28.6%) missing valuesMissing
V46 has 168969 (28.6%) missing valuesMissing
V47 has 168969 (28.6%) missing valuesMissing
V48 has 168969 (28.6%) missing valuesMissing
V49 has 168969 (28.6%) missing valuesMissing
V50 has 168969 (28.6%) missing valuesMissing
V51 has 168969 (28.6%) missing valuesMissing
V52 has 168969 (28.6%) missing valuesMissing
V53 has 77096 (13.1%) missing valuesMissing
V54 has 77096 (13.1%) missing valuesMissing
V55 has 77096 (13.1%) missing valuesMissing
V56 has 77096 (13.1%) missing valuesMissing
V57 has 77096 (13.1%) missing valuesMissing
V58 has 77096 (13.1%) missing valuesMissing
V59 has 77096 (13.1%) missing valuesMissing
V60 has 77096 (13.1%) missing valuesMissing
V61 has 77096 (13.1%) missing valuesMissing
V62 has 77096 (13.1%) missing valuesMissing
V63 has 77096 (13.1%) missing valuesMissing
V64 has 77096 (13.1%) missing valuesMissing
V65 has 77096 (13.1%) missing valuesMissing
V66 has 77096 (13.1%) missing valuesMissing
V67 has 77096 (13.1%) missing valuesMissing
V68 has 77096 (13.1%) missing valuesMissing
V69 has 77096 (13.1%) missing valuesMissing
V70 has 77096 (13.1%) missing valuesMissing
V71 has 77096 (13.1%) missing valuesMissing
V72 has 77096 (13.1%) missing valuesMissing
V73 has 77096 (13.1%) missing valuesMissing
V74 has 77096 (13.1%) missing valuesMissing
V75 has 89164 (15.1%) missing valuesMissing
V76 has 89164 (15.1%) missing valuesMissing
V77 has 89164 (15.1%) missing valuesMissing
V78 has 89164 (15.1%) missing valuesMissing
V79 has 89164 (15.1%) missing valuesMissing
V80 has 89164 (15.1%) missing valuesMissing
V81 has 89164 (15.1%) missing valuesMissing
V82 has 89164 (15.1%) missing valuesMissing
V83 has 89164 (15.1%) missing valuesMissing
V84 has 89164 (15.1%) missing valuesMissing
V85 has 89164 (15.1%) missing valuesMissing
V86 has 89164 (15.1%) missing valuesMissing
V87 has 89164 (15.1%) missing valuesMissing
V88 has 89164 (15.1%) missing valuesMissing
V89 has 89164 (15.1%) missing valuesMissing
V90 has 89164 (15.1%) missing valuesMissing
V91 has 89164 (15.1%) missing valuesMissing
V92 has 89164 (15.1%) missing valuesMissing
V93 has 89164 (15.1%) missing valuesMissing
V94 has 89164 (15.1%) missing valuesMissing
V138 has 508595 (86.1%) missing valuesMissing
V139 has 508595 (86.1%) missing valuesMissing
V140 has 508595 (86.1%) missing valuesMissing
V141 has 508595 (86.1%) missing valuesMissing
V142 has 508595 (86.1%) missing valuesMissing
V143 has 508589 (86.1%) missing valuesMissing
V144 has 508589 (86.1%) missing valuesMissing
V145 has 508589 (86.1%) missing valuesMissing
V146 has 508595 (86.1%) missing valuesMissing
V147 has 508595 (86.1%) missing valuesMissing
V148 has 508595 (86.1%) missing valuesMissing
V149 has 508595 (86.1%) missing valuesMissing
V150 has 508589 (86.1%) missing valuesMissing
V151 has 508589 (86.1%) missing valuesMissing
V152 has 508589 (86.1%) missing valuesMissing
V153 has 508595 (86.1%) missing valuesMissing
V154 has 508595 (86.1%) missing valuesMissing
V155 has 508595 (86.1%) missing valuesMissing
V156 has 508595 (86.1%) missing valuesMissing
V157 has 508595 (86.1%) missing valuesMissing
V158 has 508595 (86.1%) missing valuesMissing
V159 has 508589 (86.1%) missing valuesMissing
V160 has 508589 (86.1%) missing valuesMissing
V161 has 508595 (86.1%) missing valuesMissing
V162 has 508595 (86.1%) missing valuesMissing
V163 has 508595 (86.1%) missing valuesMissing
V164 has 508589 (86.1%) missing valuesMissing
V165 has 508589 (86.1%) missing valuesMissing
V166 has 508589 (86.1%) missing valuesMissing
V167 has 450909 (76.4%) missing valuesMissing
V168 has 450909 (76.4%) missing valuesMissing
V169 has 450721 (76.3%) missing valuesMissing
V170 has 450721 (76.3%) missing valuesMissing
V171 has 450721 (76.3%) missing valuesMissing
V172 has 450909 (76.4%) missing valuesMissing
V173 has 450909 (76.4%) missing valuesMissing
V174 has 450721 (76.3%) missing valuesMissing
V175 has 450721 (76.3%) missing valuesMissing
V176 has 450909 (76.4%) missing valuesMissing
V177 has 450909 (76.4%) missing valuesMissing
V178 has 450909 (76.4%) missing valuesMissing
V179 has 450909 (76.4%) missing valuesMissing
V180 has 450721 (76.3%) missing valuesMissing
V181 has 450909 (76.4%) missing valuesMissing
V182 has 450909 (76.4%) missing valuesMissing
V183 has 450909 (76.4%) missing valuesMissing
V184 has 450721 (76.3%) missing valuesMissing
V185 has 450721 (76.3%) missing valuesMissing
V186 has 450909 (76.4%) missing valuesMissing
V187 has 450909 (76.4%) missing valuesMissing
V188 has 450721 (76.3%) missing valuesMissing
V189 has 450721 (76.3%) missing valuesMissing
V190 has 450909 (76.4%) missing valuesMissing
V191 has 450909 (76.4%) missing valuesMissing
V192 has 450909 (76.4%) missing valuesMissing
V193 has 450909 (76.4%) missing valuesMissing
V194 has 450721 (76.3%) missing valuesMissing
V195 has 450721 (76.3%) missing valuesMissing
V196 has 450909 (76.4%) missing valuesMissing
V197 has 450721 (76.3%) missing valuesMissing
V198 has 450721 (76.3%) missing valuesMissing
V199 has 450909 (76.4%) missing valuesMissing
V200 has 450721 (76.3%) missing valuesMissing
V201 has 450721 (76.3%) missing valuesMissing
V202 has 450909 (76.4%) missing valuesMissing
V203 has 450909 (76.4%) missing valuesMissing
V204 has 450909 (76.4%) missing valuesMissing
V205 has 450909 (76.4%) missing valuesMissing
V206 has 450909 (76.4%) missing valuesMissing
V207 has 450909 (76.4%) missing valuesMissing
V208 has 450721 (76.3%) missing valuesMissing
V209 has 450721 (76.3%) missing valuesMissing
V210 has 450721 (76.3%) missing valuesMissing
V211 has 450909 (76.4%) missing valuesMissing
V212 has 450909 (76.4%) missing valuesMissing
V213 has 450909 (76.4%) missing valuesMissing
V214 has 450909 (76.4%) missing valuesMissing
V215 has 450909 (76.4%) missing valuesMissing
V216 has 450909 (76.4%) missing valuesMissing
V217 has 460110 (77.9%) missing valuesMissing
V218 has 460110 (77.9%) missing valuesMissing
V219 has 460110 (77.9%) missing valuesMissing
V220 has 449124 (76.1%) missing valuesMissing
V221 has 449124 (76.1%) missing valuesMissing
V222 has 449124 (76.1%) missing valuesMissing
V223 has 460110 (77.9%) missing valuesMissing
V224 has 460110 (77.9%) missing valuesMissing
V225 has 460110 (77.9%) missing valuesMissing
V226 has 460110 (77.9%) missing valuesMissing
V227 has 449124 (76.1%) missing valuesMissing
V228 has 460110 (77.9%) missing valuesMissing
V229 has 460110 (77.9%) missing valuesMissing
V230 has 460110 (77.9%) missing valuesMissing
V231 has 460110 (77.9%) missing valuesMissing
V232 has 460110 (77.9%) missing valuesMissing
V233 has 460110 (77.9%) missing valuesMissing
V234 has 449124 (76.1%) missing valuesMissing
V235 has 460110 (77.9%) missing valuesMissing
V236 has 460110 (77.9%) missing valuesMissing
V237 has 460110 (77.9%) missing valuesMissing
V238 has 449124 (76.1%) missing valuesMissing
V239 has 449124 (76.1%) missing valuesMissing
V240 has 460110 (77.9%) missing valuesMissing
V241 has 460110 (77.9%) missing valuesMissing
V242 has 460110 (77.9%) missing valuesMissing
V243 has 460110 (77.9%) missing valuesMissing
V244 has 460110 (77.9%) missing valuesMissing
V245 has 449124 (76.1%) missing valuesMissing
V246 has 460110 (77.9%) missing valuesMissing
V247 has 460110 (77.9%) missing valuesMissing
V248 has 460110 (77.9%) missing valuesMissing
V249 has 460110 (77.9%) missing valuesMissing
V250 has 449124 (76.1%) missing valuesMissing
V251 has 449124 (76.1%) missing valuesMissing
V252 has 460110 (77.9%) missing valuesMissing
V253 has 460110 (77.9%) missing valuesMissing
V254 has 460110 (77.9%) missing valuesMissing
V255 has 449124 (76.1%) missing valuesMissing
V256 has 449124 (76.1%) missing valuesMissing
V257 has 460110 (77.9%) missing valuesMissing
V258 has 460110 (77.9%) missing valuesMissing
V259 has 449124 (76.1%) missing valuesMissing
V260 has 460110 (77.9%) missing valuesMissing
V261 has 460110 (77.9%) missing valuesMissing
V262 has 460110 (77.9%) missing valuesMissing
V263 has 460110 (77.9%) missing valuesMissing
V264 has 460110 (77.9%) missing valuesMissing
V265 has 460110 (77.9%) missing valuesMissing
V266 has 460110 (77.9%) missing valuesMissing
V267 has 460110 (77.9%) missing valuesMissing
V268 has 460110 (77.9%) missing valuesMissing
V269 has 460110 (77.9%) missing valuesMissing
V270 has 449124 (76.1%) missing valuesMissing
V271 has 449124 (76.1%) missing valuesMissing
V272 has 449124 (76.1%) missing valuesMissing
V273 has 460110 (77.9%) missing valuesMissing
V274 has 460110 (77.9%) missing valuesMissing
V275 has 460110 (77.9%) missing valuesMissing
V276 has 460110 (77.9%) missing valuesMissing
V277 has 460110 (77.9%) missing valuesMissing
V278 has 460110 (77.9%) missing valuesMissing
V322 has 508189 (86.1%) missing valuesMissing
V323 has 508189 (86.1%) missing valuesMissing
V324 has 508189 (86.1%) missing valuesMissing
V325 has 508189 (86.1%) missing valuesMissing
V326 has 508189 (86.1%) missing valuesMissing
V327 has 508189 (86.1%) missing valuesMissing
V328 has 508189 (86.1%) missing valuesMissing
V329 has 508189 (86.1%) missing valuesMissing
V330 has 508189 (86.1%) missing valuesMissing
V331 has 508189 (86.1%) missing valuesMissing
V332 has 508189 (86.1%) missing valuesMissing
V333 has 508189 (86.1%) missing valuesMissing
V334 has 508189 (86.1%) missing valuesMissing
V335 has 508189 (86.1%) missing valuesMissing
V336 has 508189 (86.1%) missing valuesMissing
V337 has 508189 (86.1%) missing valuesMissing
V338 has 508189 (86.1%) missing valuesMissing
V339 has 508189 (86.1%) missing valuesMissing
id_01 has 446307 (75.6%) missing valuesMissing
id_02 has 449668 (76.1%) missing valuesMissing
id_03 has 524216 (88.8%) missing valuesMissing
id_04 has 524216 (88.8%) missing valuesMissing
id_05 has 453675 (76.8%) missing valuesMissing
id_06 has 453675 (76.8%) missing valuesMissing
id_07 has 585385 (99.1%) missing valuesMissing
id_08 has 585385 (99.1%) missing valuesMissing
id_09 has 515614 (87.3%) missing valuesMissing
id_10 has 515614 (87.3%) missing valuesMissing
id_11 has 449562 (76.1%) missing valuesMissing
id_12 has 446307 (75.6%) missing valuesMissing
id_13 has 463220 (78.4%) missing valuesMissing
id_14 has 510496 (86.4%) missing valuesMissing
id_15 has 449555 (76.1%) missing valuesMissing
id_16 has 461200 (78.1%) missing valuesMissing
id_17 has 451171 (76.4%) missing valuesMissing
id_18 has 545427 (92.4%) missing valuesMissing
id_19 has 451222 (76.4%) missing valuesMissing
id_20 has 451279 (76.4%) missing valuesMissing
id_21 has 585381 (99.1%) missing valuesMissing
id_22 has 585371 (99.1%) missing valuesMissing
id_23 has 585371 (99.1%) missing valuesMissing
id_24 has 585793 (99.2%) missing valuesMissing
id_25 has 585408 (99.1%) missing valuesMissing
id_26 has 585377 (99.1%) missing valuesMissing
id_27 has 585371 (99.1%) missing valuesMissing
id_28 has 449562 (76.1%) missing valuesMissing
id_29 has 449562 (76.1%) missing valuesMissing
id_30 has 512975 (86.9%) missing valuesMissing
id_31 has 450258 (76.2%) missing valuesMissing
id_32 has 512954 (86.9%) missing valuesMissing
id_33 has 517251 (87.6%) missing valuesMissing
id_34 has 512735 (86.8%) missing valuesMissing
id_35 has 449555 (76.1%) missing valuesMissing
id_36 has 449555 (76.1%) missing valuesMissing
id_37 has 449555 (76.1%) missing valuesMissing
id_38 has 449555 (76.1%) missing valuesMissing
DeviceType has 449730 (76.2%) missing valuesMissing
DeviceInfo has 471874 (79.9%) missing valuesMissing
C1 is highly skewed (γ1 = 23.95795965)Skewed
C2 is highly skewed (γ1 = 23.67743271)Skewed
C3 is highly skewed (γ1 = 88.94974565)Skewed
C4 is highly skewed (γ1 = 22.07765908)Skewed
C7 is highly skewed (γ1 = 27.19404972)Skewed
C8 is highly skewed (γ1 = 26.08338187)Skewed
C10 is highly skewed (γ1 = 25.22051365)Skewed
C11 is highly skewed (γ1 = 22.35697487)Skewed
C12 is highly skewed (γ1 = 27.41512949)Skewed
V1 is highly skewed (γ1 = -135.3003197)Skewed
V14 is highly skewed (γ1 = -44.70826854)Skewed
V27 is highly skewed (γ1 = 40.56713659)Skewed
V28 is highly skewed (γ1 = 42.88530517)Skewed
V37 is highly skewed (γ1 = 22.63035956)Skewed
V41 is highly skewed (γ1 = -36.95602066)Skewed
V44 is highly skewed (γ1 = 29.03948364)Skewed
V45 is highly skewed (γ1 = 23.21863153)Skewed
V56 is highly skewed (γ1 = 23.55671083)Skewed
V65 is highly skewed (γ1 = -54.45091417)Skewed
V68 is highly skewed (γ1 = 46.68837954)Skewed
V88 is highly skewed (γ1 = -36.37856797)Skewed
V89 is highly skewed (γ1 = 38.58884552)Skewed
V95 is highly skewed (γ1 = 30.2421223)Skewed
V96 is highly skewed (γ1 = 26.02918122)Skewed
V97 is highly skewed (γ1 = 25.32358346)Skewed
V101 is highly skewed (γ1 = 30.63115038)Skewed
V102 is highly skewed (γ1 = 26.99022389)Skewed
V103 is highly skewed (γ1 = 26.0311596)Skewed
V105 is highly skewed (γ1 = 20.89142696)Skewed
V107 is highly skewed (γ1 = -48.75403625)Skewed
V111 is highly skewed (γ1 = 31.70748668)Skewed
V112 is highly skewed (γ1 = 23.14613997)Skewed
V113 is highly skewed (γ1 = 28.96513901)Skewed
V118 is highly skewed (γ1 = 21.55620942)Skewed
V126 is highly skewed (γ1 = 29.5816565)Skewed
V127 is highly skewed (γ1 = 25.68386796)Skewed
V128 is highly skewed (γ1 = 25.05184572)Skewed
V129 is highly skewed (γ1 = 240.2742526)Skewed
V130 is highly skewed (γ1 = 26.29562755)Skewed
V131 is highly skewed (γ1 = 89.5953506)Skewed
V132 is highly skewed (γ1 = 30.23144863)Skewed
V133 is highly skewed (γ1 = 26.8642346)Skewed
V134 is highly skewed (γ1 = 25.98806685)Skewed
V135 is highly skewed (γ1 = 144.8831816)Skewed
V136 is highly skewed (γ1 = 49.02204693)Skewed
V137 is highly skewed (γ1 = 90.58311943)Skewed
V138 is highly skewed (γ1 = 22.57568789)Skewed
V161 is highly skewed (γ1 = 32.794023)Skewed
V162 is highly skewed (γ1 = 25.20236376)Skewed
V163 is highly skewed (γ1 = 30.28581667)Skewed
V166 is highly skewed (γ1 = 27.33191922)Skewed
V196 is highly skewed (γ1 = 20.5642541)Skewed
V205 is highly skewed (γ1 = 84.90479183)Skewed
V206 is highly skewed (γ1 = 207.8816169)Skewed
V207 is highly skewed (γ1 = 21.01528925)Skewed
V208 is highly skewed (γ1 = 25.52311756)Skewed
V214 is highly skewed (γ1 = 119.1736025)Skewed
V215 is highly skewed (γ1 = 25.55005775)Skewed
V216 is highly skewed (γ1 = 73.49386937)Skewed
V217 is highly skewed (γ1 = 23.77136775)Skewed
V219 is highly skewed (γ1 = 22.33226406)Skewed
V221 is highly skewed (γ1 = 51.30176649)Skewed
V222 is highly skewed (γ1 = 44.0685396)Skewed
V224 is highly skewed (γ1 = 29.95122568)Skewed
V225 is highly skewed (γ1 = 27.15642124)Skewed
V226 is highly skewed (γ1 = 30.26010877)Skewed
V227 is highly skewed (γ1 = 99.42866629)Skewed
V229 is highly skewed (γ1 = 29.3673987)Skewed
V231 is highly skewed (γ1 = 24.594675)Skewed
V232 is highly skewed (γ1 = 23.17682796)Skewed
V233 is highly skewed (γ1 = 23.88489176)Skewed
V240 is highly skewed (γ1 = 80.1141236)Skewed
V241 is highly skewed (γ1 = 91.52056731)Skewed
V243 is highly skewed (γ1 = 25.53294437)Skewed
V245 is highly skewed (γ1 = 76.51329347)Skewed
V247 is highly skewed (γ1 = 25.79046393)Skewed
V248 is highly skewed (γ1 = 33.60335254)Skewed
V249 is highly skewed (γ1 = 29.55408607)Skewed
V252 is highly skewed (γ1 = 26.33989262)Skewed
V253 is highly skewed (γ1 = 39.22384785)Skewed
V254 is highly skewed (γ1 = 36.52759872)Skewed
V255 is highly skewed (γ1 = 43.93638702)Skewed
V256 is highly skewed (γ1 = 41.82977041)Skewed
V259 is highly skewed (γ1 = 60.74790126)Skewed
V261 is highly skewed (γ1 = 20.73646489)Skewed
V263 is highly skewed (γ1 = 38.68882555)Skewed
V264 is highly skewed (γ1 = 24.49703507)Skewed
V265 is highly skewed (γ1 = 28.09138595)Skewed
V266 is highly skewed (γ1 = 175.9587724)Skewed
V267 is highly skewed (γ1 = 38.00683183)Skewed
V268 is highly skewed (γ1 = 69.16536552)Skewed
V269 is highly skewed (γ1 = 177.8389509)Skewed
V270 is highly skewed (γ1 = 32.76660109)Skewed
V271 is highly skewed (γ1 = 26.44625737)Skewed
V272 is highly skewed (γ1 = 29.56880712)Skewed
V273 is highly skewed (γ1 = 23.65961452)Skewed
V274 is highly skewed (γ1 = 20.14985307)Skewed
V275 is highly skewed (γ1 = 21.93178447)Skewed
V276 is highly skewed (γ1 = 108.7179692)Skewed
V277 is highly skewed (γ1 = 69.36961204)Skewed
V278 is highly skewed (γ1 = 90.28358134)Skewed
V279 is highly skewed (γ1 = 30.23849874)Skewed
V280 is highly skewed (γ1 = 24.78158913)Skewed
V290 is highly skewed (γ1 = 34.5722961)Skewed
V291 is highly skewed (γ1 = 50.15824407)Skewed
V292 is highly skewed (γ1 = 51.22819126)Skewed
V293 is highly skewed (γ1 = 30.58233761)Skewed
V294 is highly skewed (γ1 = 23.8536542)Skewed
V295 is highly skewed (γ1 = 25.34089616)Skewed
V305 is highly skewed (γ1 = 384.2261704)Skewed
V306 is highly skewed (γ1 = 29.27287302)Skewed
V307 is highly skewed (γ1 = 23.66791398)Skewed
V308 is highly skewed (γ1 = 24.53005041)Skewed
V309 is highly skewed (γ1 = 224.8752675)Skewed
V311 is highly skewed (γ1 = 323.831374)Skewed
V312 is highly skewed (γ1 = 73.60338558)Skewed
V316 is highly skewed (γ1 = 30.09738933)Skewed
V317 is highly skewed (γ1 = 24.59740756)Skewed
V318 is highly skewed (γ1 = 25.48282882)Skewed
V319 is highly skewed (γ1 = 181.8336539)Skewed
V320 is highly skewed (γ1 = 70.51555489)Skewed
V321 is highly skewed (γ1 = 123.5564747)Skewed
V334 is highly skewed (γ1 = 168.4728074)Skewed
V335 is highly skewed (γ1 = 54.14242079)Skewed
V336 is highly skewed (γ1 = 118.7229631)Skewed
V337 is highly skewed (γ1 = 85.7711656)Skewed
V338 is highly skewed (γ1 = 23.64451411)Skewed
V339 is highly skewed (γ1 = 48.91001564)Skewed
TransactionID has unique valuesUnique
isFraud has 569877 (96.5%) zerosZeros
dist1 has 19824 (3.4%) zerosZeros
C3 has 588111 (99.6%) zerosZeros
C4 has 451883 (76.5%) zerosZeros
C5 has 372435 (63.1%) zerosZeros
C6 has 49066 (8.3%) zerosZeros
C7 has 523142 (88.6%) zerosZeros
C8 has 447667 (75.8%) zerosZeros
C9 has 183795 (31.1%) zerosZeros
C10 has 453442 (76.8%) zerosZeros
C12 has 489199 (82.8%) zerosZeros
C13 has 35460 (6.0%) zerosZeros
C14 has 35947 (6.1%) zerosZeros
D1 has 280130 (47.4%) zerosZeros
D2 has 15124 (2.6%) zerosZeros
D3 has 73094 (12.4%) zerosZeros
D4 has 166571 (28.2%) zerosZeros
D5 has 65377 (11.1%) zerosZeros
D6 has 45782 (7.8%) zerosZeros
D7 has 21135 (3.6%) zerosZeros
D10 has 221930 (37.6%) zerosZeros
D11 has 112281 (19.0%) zerosZeros
D12 has 42756 (7.2%) zerosZeros
D13 has 48840 (8.3%) zerosZeros
D14 has 45266 (7.7%) zerosZeros
D15 has 174246 (29.5%) zerosZeros
V4 has 56687 (9.6%) zerosZeros
V5 has 54276 (9.2%) zerosZeros
V10 has 170281 (28.8%) zerosZeros
V11 has 169633 (28.7%) zerosZeros
V12 has 230049 (39.0%) zerosZeros
V13 has 216752 (36.7%) zerosZeros
V15 has 452075 (76.6%) zerosZeros
V16 has 452052 (76.5%) zerosZeros
V17 has 447823 (75.8%) zerosZeros
V18 has 447792 (75.8%) zerosZeros
V19 has 101871 (17.3%) zerosZeros
V20 has 96318 (16.3%) zerosZeros
V21 has 448220 (75.9%) zerosZeros
V22 has 448185 (75.9%) zerosZeros
V25 has 14465 (2.4%) zerosZeros
V26 has 13068 (2.2%) zerosZeros
V27 has 514076 (87.1%) zerosZeros
V28 has 514073 (87.1%) zerosZeros
V29 has 320407 (54.3%) zerosZeros
V30 has 319017 (54.0%) zerosZeros
V31 has 443045 (75.0%) zerosZeros
V32 has 443018 (75.0%) zerosZeros
V33 has 447769 (75.8%) zerosZeros
V34 has 443989 (75.2%) zerosZeros
V35 has 196551 (33.3%) zerosZeros
V36 has 186733 (31.6%) zerosZeros
V39 has 357994 (60.6%) zerosZeros
V40 has 357837 (60.6%) zerosZeros
V42 has 358439 (60.7%) zerosZeros
V43 has 358261 (60.7%) zerosZeros
V48 has 264325 (44.8%) zerosZeros
V49 has 263761 (44.7%) zerosZeros
V50 has 352482 (59.7%) zerosZeros
V51 has 353522 (59.9%) zerosZeros
V52 has 351237 (59.5%) zerosZeros
V53 has 221227 (37.5%) zerosZeros
V54 has 207068 (35.1%) zerosZeros
V57 has 449807 (76.2%) zerosZeros
V58 has 449600 (76.1%) zerosZeros
V59 has 448636 (76.0%) zerosZeros
V60 has 448369 (75.9%) zerosZeros
V61 has 98827 (16.7%) zerosZeros
V62 has 93177 (15.8%) zerosZeros
V63 has 448961 (76.0%) zerosZeros
V64 has 448662 (76.0%) zerosZeros
V66 has 16418 (2.8%) zerosZeros
V67 has 14565 (2.5%) zerosZeros
V68 has 513178 (86.9%) zerosZeros
V69 has 319136 (54.0%) zerosZeros
V70 has 317801 (53.8%) zerosZeros
V71 has 443821 (75.2%) zerosZeros
V72 has 443611 (75.1%) zerosZeros
V73 has 444786 (75.3%) zerosZeros
V74 has 440878 (74.7%) zerosZeros
V75 has 232467 (39.4%) zerosZeros
V76 has 217817 (36.9%) zerosZeros
V79 has 436802 (74.0%) zerosZeros
V80 has 434732 (73.6%) zerosZeros
V81 has 434653 (73.6%) zerosZeros
V82 has 88757 (15.0%) zerosZeros
V83 has 83605 (14.2%) zerosZeros
V84 has 435246 (73.7%) zerosZeros
V85 has 435103 (73.7%) zerosZeros
V89 has 500954 (84.8%) zerosZeros
V90 has 305817 (51.8%) zerosZeros
V91 has 305135 (51.7%) zerosZeros
V92 has 428699 (72.6%) zerosZeros
V93 has 428694 (72.6%) zerosZeros
V94 has 432688 (73.3%) zerosZeros
V95 has 510542 (86.5%) zerosZeros
V96 has 366578 (62.1%) zerosZeros
V97 has 454213 (76.9%) zerosZeros
V98 has 558622 (94.6%) zerosZeros
V99 has 403766 (68.4%) zerosZeros
V100 has 496523 (84.1%) zerosZeros
V101 has 556214 (94.2%) zerosZeros
V102 has 535961 (90.8%) zerosZeros
V103 has 547743 (92.8%) zerosZeros
V104 has 563527 (95.4%) zerosZeros
V105 has 547750 (92.8%) zerosZeros
V106 has 558074 (94.5%) zerosZeros
V126 has 510542 (86.5%) zerosZeros
V127 has 366578 (62.1%) zerosZeros
V128 has 454213 (76.9%) zerosZeros
V129 has 558622 (94.6%) zerosZeros
V130 has 403766 (68.4%) zerosZeros
V131 has 496523 (84.1%) zerosZeros
V132 has 556214 (94.2%) zerosZeros
V133 has 535961 (90.8%) zerosZeros
V134 has 547743 (92.8%) zerosZeros
V135 has 563527 (95.4%) zerosZeros
V136 has 547750 (92.8%) zerosZeros
V137 has 558074 (94.5%) zerosZeros
V138 has 80610 (13.7%) zerosZeros
V139 has 21848 (3.7%) zerosZeros
V140 has 21825 (3.7%) zerosZeros
V141 has 79211 (13.4%) zerosZeros
V142 has 79152 (13.4%) zerosZeros
V143 has 63872 (10.8%) zerosZeros
V144 has 62439 (10.6%) zerosZeros
V145 has 61241 (10.4%) zerosZeros
V146 has 74718 (12.7%) zerosZeros
V147 has 74531 (12.6%) zerosZeros
V148 has 21848 (3.7%) zerosZeros
V149 has 21825 (3.7%) zerosZeros
V153 has 21848 (3.7%) zerosZeros
V154 has 21825 (3.7%) zerosZeros
V155 has 21848 (3.7%) zerosZeros
V156 has 21825 (3.7%) zerosZeros
V157 has 21848 (3.7%) zerosZeros
V158 has 21825 (3.7%) zerosZeros
V159 has 68397 (11.6%) zerosZeros
V160 has 63341 (10.7%) zerosZeros
V161 has 79211 (13.4%) zerosZeros
V162 has 79008 (13.4%) zerosZeros
V163 has 79152 (13.4%) zerosZeros
V164 has 63872 (10.8%) zerosZeros
V165 has 62598 (10.6%) zerosZeros
V166 has 62439 (10.6%) zerosZeros
V167 has 106161 (18.0%) zerosZeros
V168 has 101660 (17.2%) zerosZeros
V169 has 130911 (22.2%) zerosZeros
V170 has 9693 (1.6%) zerosZeros
V171 has 9579 (1.6%) zerosZeros
V172 has 128800 (21.8%) zerosZeros
V173 has 132868 (22.5%) zerosZeros
V174 has 123863 (21.0%) zerosZeros
V175 has 123575 (20.9%) zerosZeros
V177 has 120997 (20.5%) zerosZeros
V178 has 118836 (20.1%) zerosZeros
V179 has 119688 (20.3%) zerosZeros
V180 has 122945 (20.8%) zerosZeros
V181 has 125518 (21.3%) zerosZeros
V182 has 123142 (20.9%) zerosZeros
V183 has 124108 (21.0%) zerosZeros
V184 has 127855 (21.7%) zerosZeros
V185 has 126057 (21.3%) zerosZeros
V188 has 9693 (1.6%) zerosZeros
V189 has 9579 (1.6%) zerosZeros
V194 has 9693 (1.6%) zerosZeros
V195 has 9579 (1.6%) zerosZeros
V197 has 9693 (1.6%) zerosZeros
V198 has 9579 (1.6%) zerosZeros
V200 has 9693 (1.6%) zerosZeros
V201 has 9579 (1.6%) zerosZeros
V202 has 106161 (18.0%) zerosZeros
V203 has 98207 (16.6%) zerosZeros
V204 has 101660 (17.2%) zerosZeros
V205 has 128800 (21.8%) zerosZeros
V206 has 132868 (22.5%) zerosZeros
V207 has 123086 (20.8%) zerosZeros
V208 has 123863 (21.0%) zerosZeros
V209 has 122714 (20.8%) zerosZeros
V210 has 123575 (20.9%) zerosZeros
V211 has 120997 (20.5%) zerosZeros
V212 has 118836 (20.1%) zerosZeros
V213 has 119688 (20.3%) zerosZeros
V214 has 125518 (21.3%) zerosZeros
V215 has 123142 (20.9%) zerosZeros
V216 has 124108 (21.0%) zerosZeros
V217 has 98285 (16.6%) zerosZeros
V218 has 90334 (15.3%) zerosZeros
V219 has 94337 (16.0%) zerosZeros
V220 has 133047 (22.5%) zerosZeros
V221 has 32341 (5.5%) zerosZeros
V222 has 32264 (5.5%) zerosZeros
V223 has 120515 (20.4%) zerosZeros
V224 has 112053 (19.0%) zerosZeros
V225 has 116323 (19.7%) zerosZeros
V226 has 122371 (20.7%) zerosZeros
V227 has 128436 (21.7%) zerosZeros
V231 has 112885 (19.1%) zerosZeros
V232 has 110617 (18.7%) zerosZeros
V233 has 111756 (18.9%) zerosZeros
V234 has 120416 (20.4%) zerosZeros
V235 has 117724 (19.9%) zerosZeros
V236 has 115566 (19.6%) zerosZeros
V237 has 116709 (19.8%) zerosZeros
V238 has 130158 (22.0%) zerosZeros
V239 has 129713 (22.0%) zerosZeros
V245 has 32341 (5.5%) zerosZeros
V250 has 32341 (5.5%) zerosZeros
V251 has 32264 (5.5%) zerosZeros
V255 has 32341 (5.5%) zerosZeros
V256 has 32264 (5.5%) zerosZeros
V259 has 32341 (5.5%) zerosZeros
V260 has 10040 (1.7%) zerosZeros
V261 has 9388 (1.6%) zerosZeros
V262 has 9751 (1.7%) zerosZeros
V263 has 98285 (16.6%) zerosZeros
V264 has 90334 (15.3%) zerosZeros
V265 has 94337 (16.0%) zerosZeros
V266 has 120515 (20.4%) zerosZeros
V267 has 112053 (19.0%) zerosZeros
V268 has 116323 (19.7%) zerosZeros
V269 has 128257 (21.7%) zerosZeros
V270 has 128634 (21.8%) zerosZeros
V271 has 128066 (21.7%) zerosZeros
V272 has 128436 (21.7%) zerosZeros
V273 has 112885 (19.1%) zerosZeros
V274 has 110617 (18.7%) zerosZeros
V275 has 111756 (18.9%) zerosZeros
V276 has 117724 (19.9%) zerosZeros
V277 has 115566 (19.6%) zerosZeros
V278 has 116709 (19.8%) zerosZeros
V279 has 492169 (83.3%) zerosZeros
V280 has 422464 (71.5%) zerosZeros
V281 has 561201 (95.0%) zerosZeros
V282 has 212812 (36.0%) zerosZeros
V283 has 211499 (35.8%) zerosZeros
V284 has 545552 (92.4%) zerosZeros
V285 has 354815 (60.1%) zerosZeros
V286 has 573290 (97.1%) zerosZeros
V287 has 466863 (79.1%) zerosZeros
V288 has 489641 (82.9%) zerosZeros
V289 has 487073 (82.5%) zerosZeros
V293 has 546442 (92.5%) zerosZeros
V294 has 519413 (88.0%) zerosZeros
V295 has 535074 (90.6%) zerosZeros
V296 has 536687 (90.9%) zerosZeros
V297 has 562740 (95.3%) zerosZeros
V298 has 542892 (91.9%) zerosZeros
V299 has 555629 (94.1%) zerosZeros
V300 has 569522 (96.4%) zerosZeros
V301 has 567409 (96.1%) zerosZeros
V302 has 450191 (76.2%) zerosZeros
V303 has 449499 (76.1%) zerosZeros
V304 has 449830 (76.2%) zerosZeros
V306 has 492169 (83.3%) zerosZeros
V307 has 316650 (53.6%) zerosZeros
V308 has 422464 (71.5%) zerosZeros
V309 has 545552 (92.4%) zerosZeros
V310 has 354815 (60.1%) zerosZeros
V311 has 573290 (97.1%) zerosZeros
V312 has 466863 (79.1%) zerosZeros
V313 has 489641 (82.9%) zerosZeros
V314 has 473273 (80.1%) zerosZeros
V315 has 487073 (82.5%) zerosZeros
V316 has 546442 (92.5%) zerosZeros
V317 has 519413 (88.0%) zerosZeros
V318 has 535074 (90.6%) zerosZeros
V319 has 562740 (95.3%) zerosZeros
V320 has 542892 (91.9%) zerosZeros
V321 has 555629 (94.1%) zerosZeros
V322 has 65970 (11.2%) zerosZeros
V323 has 60806 (10.3%) zerosZeros
V324 has 62945 (10.7%) zerosZeros
V325 has 78588 (13.3%) zerosZeros
V326 has 72668 (12.3%) zerosZeros
V327 has 75098 (12.7%) zerosZeros
V328 has 73464 (12.4%) zerosZeros
V329 has 72114 (12.2%) zerosZeros
V330 has 72799 (12.3%) zerosZeros
V331 has 65970 (11.2%) zerosZeros
V332 has 60806 (10.3%) zerosZeros
V333 has 62945 (10.7%) zerosZeros
V334 has 78588 (13.3%) zerosZeros
V335 has 72668 (12.3%) zerosZeros
V336 has 75098 (12.7%) zerosZeros
V337 has 73464 (12.4%) zerosZeros
V338 has 72114 (12.2%) zerosZeros
V339 has 72799 (12.3%) zerosZeros
id_01 has 19555 (3.3%) zerosZeros
id_03 has 63903 (10.8%) zerosZeros
id_04 has 65739 (11.1%) zerosZeros
id_05 has 92743 (15.7%) zerosZeros
id_06 has 91325 (15.5%) zerosZeros
id_09 has 70378 (11.9%) zerosZeros
id_10 has 72879 (12.3%) zerosZeros

Reproduction

Analysis started2024-11-14 19:13:10.345072
Analysis finished2024-11-14 19:13:34.421704
Duration24.08 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

TransactionID
Real number (ℝ)

UNIQUE 

Distinct590540
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3282269.5
Minimum2987000
Maximum3577539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:34.755810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2987000
5-th percentile3016526.95
Q13134634.75
median3282269.5
Q33429904.25
95-th percentile3548012.05
Maximum3577539
Range590539
Interquartile range (IQR)295269.5

Descriptive statistics

Standard deviation170474.3583
Coefficient of variation (CV)0.05193795279
Kurtosis-1.2
Mean3282269.5
Median Absolute Deviation (MAD)147635
Skewness-3.024052959 × 10-16
Sum1.938311431 × 1012
Variance2.906150684 × 1010
MonotonicityStrictly increasing
2024-11-14T14:13:35.016813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2987000 1
 
< 0.1%
3380885 1
 
< 0.1%
3380689 1
 
< 0.1%
3380690 1
 
< 0.1%
3380691 1
 
< 0.1%
3380692 1
 
< 0.1%
3380693 1
 
< 0.1%
3380694 1
 
< 0.1%
3380695 1
 
< 0.1%
3380696 1
 
< 0.1%
Other values (590530) 590530
> 99.9%
ValueCountFrequency (%)
2987000 1
< 0.1%
2987001 1
< 0.1%
2987002 1
< 0.1%
2987003 1
< 0.1%
2987004 1
< 0.1%
ValueCountFrequency (%)
3577539 1
< 0.1%
3577538 1
< 0.1%
3577537 1
< 0.1%
3577536 1
< 0.1%
3577535 1
< 0.1%

isFraud
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03499000914
Minimum0
Maximum1
Zeros569877
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:35.202814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1837546342
Coefficient of variation (CV)5.251631499
Kurtosis23.61605552
Mean0.03499000914
Median Absolute Deviation (MAD)0
Skewness5.061222731
Sum20663
Variance0.03376576558
MonotonicityNot monotonic
2024-11-14T14:13:35.345806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 569877
96.5%
1 20663
 
3.5%
ValueCountFrequency (%)
0 569877
96.5%
1 20663
 
3.5%
ValueCountFrequency (%)
1 20663
 
3.5%
0 569877
96.5%

TransactionDT
Real number (ℝ)

Distinct573349
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7372311.31
Minimum86400
Maximum15811131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:35.541804image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum86400
5-th percentile751946.5
Q13027057.75
median7306527.5
Q311246620
95-th percentile14857872.15
Maximum15811131
Range15724731
Interquartile range (IQR)8219562.25

Descriptive statistics

Standard deviation4617223.647
Coefficient of variation (CV)0.6262925496
Kurtosis-1.229137021
Mean7372311.31
Median Absolute Deviation (MAD)4127784
Skewness0.1311547462
Sum4.353644721 × 1012
Variance2.13187542 × 1013
MonotonicityIncreasing
2024-11-14T14:13:35.752805image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9474817 8
 
< 0.1%
11576951 5
 
< 0.1%
4397066 5
 
< 0.1%
7236588 5
 
< 0.1%
1544629 4
 
< 0.1%
8468062 4
 
< 0.1%
10342227 4
 
< 0.1%
7337054 4
 
< 0.1%
2073296 4
 
< 0.1%
1962054 4
 
< 0.1%
Other values (573339) 590493
> 99.9%
ValueCountFrequency (%)
86400 1
< 0.1%
86401 1
< 0.1%
86469 1
< 0.1%
86499 1
< 0.1%
86506 1
< 0.1%
ValueCountFrequency (%)
15811131 1
< 0.1%
15811088 1
< 0.1%
15811079 1
< 0.1%
15811049 1
< 0.1%
15811047 1
< 0.1%

TransactionAmt
Real number (ℝ)

Distinct20902
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.0271764
Minimum0.251
Maximum31937.391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:35.960813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.251
5-th percentile20
Q143.321
median68.769
Q3125
95-th percentile445
Maximum31937.391
Range31937.14
Interquartile range (IQR)81.679

Descriptive statistics

Standard deviation239.162522
Coefficient of variation (CV)1.77121768
Kurtosis1123.956907
Mean135.0271764
Median Absolute Deviation (MAD)38.8
Skewness14.37448957
Sum79738948.74
Variance57198.71194
MonotonicityNot monotonic
2024-11-14T14:13:36.179806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 30582
 
5.2%
117 28933
 
4.9%
107.95 23954
 
4.1%
57.95 23600
 
4.0%
100 20362
 
3.4%
50 17009
 
2.9%
49 15990
 
2.7%
226 11704
 
2.0%
39 11095
 
1.9%
29 10683
 
1.8%
Other values (20892) 396628
67.2%
ValueCountFrequency (%)
0.251 1
 
< 0.1%
0.272 1
 
< 0.1%
0.292 5
< 0.1%
0.35 1
 
< 0.1%
0.364 1
 
< 0.1%
ValueCountFrequency (%)
31937.391 2
< 0.1%
6450.97 1
< 0.1%
6085.23 1
< 0.1%
5543.23 1
< 0.1%
5420 2
< 0.1%
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.7 MiB
2024-11-14T14:13:36.325829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters590540
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowW
2nd rowW
3rd rowW
4th rowW
5th rowH
ValueCountFrequency (%)
w 439670
74.5%
c 68519
 
11.6%
r 37699
 
6.4%
h 33024
 
5.6%
s 11628
 
2.0%
2024-11-14T14:13:36.606807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
W 439670
74.5%
C 68519
 
11.6%
R 37699
 
6.4%
H 33024
 
5.6%
S 11628
 
2.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 590540
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
W 439670
74.5%
C 68519
 
11.6%
R 37699
 
6.4%
H 33024
 
5.6%
S 11628
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 590540
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
W 439670
74.5%
C 68519
 
11.6%
R 37699
 
6.4%
H 33024
 
5.6%
S 11628
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 590540
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
W 439670
74.5%
C 68519
 
11.6%
R 37699
 
6.4%
H 33024
 
5.6%
S 11628
 
2.0%

card1
Real number (ℝ)

Distinct13553
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9898.734658
Minimum1000
Maximum18396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:36.822019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile2039
Q16019
median9678
Q314184
95-th percentile17319
Maximum18396
Range17396
Interquartile range (IQR)8165

Descriptive statistics

Standard deviation4901.170153
Coefficient of variation (CV)0.4951309761
Kurtosis-1.136157938
Mean9898.734658
Median Absolute Deviation (MAD)4008
Skewness-0.04092898353
Sum5845598765
Variance24021468.87
MonotonicityNot monotonic
2024-11-14T14:13:37.026026image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7919 14932
 
2.5%
9500 14162
 
2.4%
15885 10361
 
1.8%
17188 10344
 
1.8%
15066 7945
 
1.3%
12695 7091
 
1.2%
12544 6773
 
1.1%
6019 6771
 
1.1%
2803 6141
 
1.0%
7585 5334
 
0.9%
Other values (13543) 500686
84.8%
ValueCountFrequency (%)
1000 1
 
< 0.1%
1001 3
< 0.1%
1004 5
< 0.1%
1005 1
 
< 0.1%
1006 3
< 0.1%
ValueCountFrequency (%)
18396 1
 
< 0.1%
18395 11
 
< 0.1%
18393 3
 
< 0.1%
18391 1
 
< 0.1%
18390 64
< 0.1%

card2
Real number (ℝ)

MISSING 

Distinct500
Distinct (%)0.1%
Missing8933
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean362.5554885
Minimum100
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:37.235023image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile111
Q1214
median361
Q3512
95-th percentile567
Maximum600
Range500
Interquartile range (IQR)298

Descriptive statistics

Standard deviation157.7932463
Coefficient of variation (CV)0.4352250933
Kurtosis-1.333825099
Mean362.5554885
Median Absolute Deviation (MAD)151
Skewness-0.2000086085
Sum210864810
Variance24898.70858
MonotonicityNot monotonic
2024-11-14T14:13:37.519022image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321 48935
 
8.3%
111 45191
 
7.7%
555 41995
 
7.1%
490 38145
 
6.5%
583 21803
 
3.7%
170 18214
 
3.1%
194 16938
 
2.9%
545 16355
 
2.8%
360 15190
 
2.6%
514 14541
 
2.5%
Other values (490) 304300
51.5%
ValueCountFrequency (%)
100 7570
1.3%
101 156
 
< 0.1%
102 332
 
0.1%
103 3468
0.6%
104 754
 
0.1%
ValueCountFrequency (%)
600 194
< 0.1%
599 403
0.1%
598 70
 
< 0.1%
597 86
 
< 0.1%
596 209
< 0.1%

card3
Real number (ℝ)

Distinct114
Distinct (%)< 0.1%
Missing1565
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean153.1949251
Minimum100
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:37.678019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile150
Q1150
median150
Q3150
95-th percentile185
Maximum231
Range131
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.33644399
Coefficient of variation (CV)0.07400012751
Kurtosis6.323881576
Mean153.1949251
Median Absolute Deviation (MAD)0
Skewness2.019325671
Sum90227981
Variance128.5149623
MonotonicityNot monotonic
2024-11-14T14:13:37.847651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 521287
88.3%
185 56346
 
9.5%
106 1571
 
0.3%
144 1252
 
0.2%
146 1252
 
0.2%
117 962
 
0.2%
143 899
 
0.2%
119 750
 
0.1%
102 460
 
0.1%
147 390
 
0.1%
Other values (104) 3806
 
0.6%
(Missing) 1565
 
0.3%
ValueCountFrequency (%)
100 202
 
< 0.1%
101 1
 
< 0.1%
102 460
 
0.1%
105 3
 
< 0.1%
106 1571
0.3%
ValueCountFrequency (%)
231 6
 
< 0.1%
229 118
< 0.1%
228 1
 
< 0.1%
227 17
 
< 0.1%
226 2
 
< 0.1%

card4
Text

Distinct4
Distinct (%)< 0.1%
Missing1577
Missing (%)0.3%
Memory size35.5 MiB
2024-11-14T14:13:37.996676image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length6.142480937
Min length4

Characters and Unicode

Total characters3617694
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdiscover
2nd rowmastercard
3rd rowvisa
4th rowmastercard
5th rowmastercard
ValueCountFrequency (%)
visa 384767
64.4%
mastercard 189217
31.7%
american 8328
 
1.4%
express 8328
 
1.4%
discover 6651
 
1.1%
2024-11-14T14:13:38.260675image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 779857
21.6%
s 597291
16.5%
r 401741
11.1%
i 399746
11.0%
v 391418
10.8%
e 220852
 
6.1%
c 204196
 
5.6%
m 197545
 
5.5%
d 195868
 
5.4%
t 189217
 
5.2%
Other values (5) 39963
 
1.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3617694
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 779857
21.6%
s 597291
16.5%
r 401741
11.1%
i 399746
11.0%
v 391418
10.8%
e 220852
 
6.1%
c 204196
 
5.6%
m 197545
 
5.5%
d 195868
 
5.4%
t 189217
 
5.2%
Other values (5) 39963
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3617694
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 779857
21.6%
s 597291
16.5%
r 401741
11.1%
i 399746
11.0%
v 391418
10.8%
e 220852
 
6.1%
c 204196
 
5.6%
m 197545
 
5.5%
d 195868
 
5.4%
t 189217
 
5.2%
Other values (5) 39963
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3617694
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 779857
21.6%
s 597291
16.5%
r 401741
11.1%
i 399746
11.0%
v 391418
10.8%
e 220852
 
6.1%
c 204196
 
5.6%
m 197545
 
5.5%
d 195868
 
5.4%
t 189217
 
5.2%
Other values (5) 39963
 
1.1%

card5
Real number (ℝ)

Distinct119
Distinct (%)< 0.1%
Missing4259
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean199.278897
Minimum100
Maximum237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:38.397651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile102
Q1166
median226
Q3226
95-th percentile226
Maximum237
Range137
Interquartile range (IQR)60

Descriptive statistics

Standard deviation41.24445297
Coefficient of variation (CV)0.2069684929
Kurtosis-0.04758779381
Mean199.278897
Median Absolute Deviation (MAD)0
Skewness-1.224602434
Sum116833431
Variance1701.1049
MonotonicityNot monotonic
2024-11-14T14:13:38.559659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
226 296546
50.2%
224 81513
 
13.8%
166 57140
 
9.7%
102 29105
 
4.9%
117 25941
 
4.4%
138 19737
 
3.3%
195 16945
 
2.9%
137 11720
 
2.0%
126 10298
 
1.7%
219 9924
 
1.7%
Other values (109) 27412
 
4.6%
ValueCountFrequency (%)
100 978
 
0.2%
101 7
 
< 0.1%
102 29105
4.9%
104 23
 
< 0.1%
105 2
 
< 0.1%
ValueCountFrequency (%)
237 49
 
< 0.1%
236 647
0.1%
235 6
 
< 0.1%
234 1
 
< 0.1%
233 19
 
< 0.1%

card6
Text

Distinct4
Distinct (%)< 0.1%
Missing1571
Missing (%)0.3%
Memory size35.0 MiB
2024-11-14T14:13:38.701653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length15
Median length5
Mean length5.253622856
Min length5

Characters and Unicode

Total characters3094221
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowcredit
2nd rowcredit
3rd rowdebit
4th rowdebit
5th rowcredit
ValueCountFrequency (%)
debit 439968
74.7%
credit 149016
 
25.3%
or 30
 
< 0.1%
charge 15
 
< 0.1%
card 15
 
< 0.1%
2024-11-14T14:13:38.986066image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
d 588999
19.0%
e 588999
19.0%
i 588984
19.0%
t 588984
19.0%
b 439968
14.2%
r 149076
 
4.8%
c 149046
 
4.8%
75
 
< 0.1%
o 30
 
< 0.1%
a 30
 
< 0.1%
Other values (2) 30
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3094221
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
d 588999
19.0%
e 588999
19.0%
i 588984
19.0%
t 588984
19.0%
b 439968
14.2%
r 149076
 
4.8%
c 149046
 
4.8%
75
 
< 0.1%
o 30
 
< 0.1%
a 30
 
< 0.1%
Other values (2) 30
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3094221
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
d 588999
19.0%
e 588999
19.0%
i 588984
19.0%
t 588984
19.0%
b 439968
14.2%
r 149076
 
4.8%
c 149046
 
4.8%
75
 
< 0.1%
o 30
 
< 0.1%
a 30
 
< 0.1%
Other values (2) 30
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3094221
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
d 588999
19.0%
e 588999
19.0%
i 588984
19.0%
t 588984
19.0%
b 439968
14.2%
r 149076
 
4.8%
c 149046
 
4.8%
75
 
< 0.1%
o 30
 
< 0.1%
a 30
 
< 0.1%
Other values (2) 30
 
< 0.1%

addr1
Real number (ℝ)

MISSING 

Distinct332
Distinct (%)0.1%
Missing65706
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean290.7337939
Minimum100
Maximum540
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:39.137628image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile126
Q1204
median299
Q3330
95-th percentile485
Maximum540
Range440
Interquartile range (IQR)126

Descriptive statistics

Standard deviation101.7410718
Coefficient of variation (CV)0.3499458057
Kurtosis-0.5030779205
Mean290.7337939
Median Absolute Deviation (MAD)73
Skewness0.3724552656
Sum152586980
Variance10351.24568
MonotonicityNot monotonic
2024-11-14T14:13:39.296496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
299 46335
 
7.8%
325 42751
 
7.2%
204 42020
 
7.1%
264 39870
 
6.8%
330 26287
 
4.5%
315 23078
 
3.9%
441 20827
 
3.5%
272 20141
 
3.4%
123 16105
 
2.7%
126 15243
 
2.6%
Other values (322) 232177
39.3%
(Missing) 65706
 
11.1%
ValueCountFrequency (%)
100 26
< 0.1%
101 1
 
< 0.1%
102 13
< 0.1%
104 8
 
< 0.1%
105 3
 
< 0.1%
ValueCountFrequency (%)
540 6
 
< 0.1%
536 309
0.1%
535 2
 
< 0.1%
531 1
 
< 0.1%
530 1
 
< 0.1%

addr2
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)< 0.1%
Missing65706
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean86.80063029
Minimum10
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:39.448505image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile87
Q187
median87
Q387
95-th percentile87
Maximum102
Range92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.690623486
Coefficient of variation (CV)0.03099774134
Kurtosis256.7780762
Mean86.80063029
Median Absolute Deviation (MAD)0
Skewness-14.50115337
Sum45555922
Variance7.239454744
MonotonicityNot monotonic
2024-11-14T14:13:39.609491image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87 520481
88.1%
60 3084
 
0.5%
96 638
 
0.1%
32 91
 
< 0.1%
65 82
 
< 0.1%
16 55
 
< 0.1%
31 47
 
< 0.1%
19 33
 
< 0.1%
26 25
 
< 0.1%
27 20
 
< 0.1%
Other values (64) 278
 
< 0.1%
(Missing) 65706
 
11.1%
ValueCountFrequency (%)
10 8
 
< 0.1%
13 7
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
16 55
< 0.1%
ValueCountFrequency (%)
102 11
< 0.1%
101 4
 
< 0.1%
100 2
 
< 0.1%
98 11
< 0.1%
97 2
 
< 0.1%

dist1
Real number (ℝ)

MISSING  ZEROS 

Distinct2651
Distinct (%)1.1%
Missing352271
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean118.5021803
Minimum0
Maximum10286
Zeros19824
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:39.763496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8
Q324
95-th percentile846
Maximum10286
Range10286
Interquartile range (IQR)21

Descriptive statistics

Standard deviation371.8720265
Coefficient of variation (CV)3.138102822
Kurtosis36.80227784
Mean118.5021803
Median Absolute Deviation (MAD)7
Skewness5.108190016
Sum28235396
Variance138288.8041
MonotonicityNot monotonic
2024-11-14T14:13:39.923862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19824
 
3.4%
1 18330
 
3.1%
2 17028
 
2.9%
4 13067
 
2.2%
3 12808
 
2.2%
5 12004
 
2.0%
6 9843
 
1.7%
7 9340
 
1.6%
8 7731
 
1.3%
9 7728
 
1.3%
Other values (2641) 110566
 
18.7%
(Missing) 352271
59.7%
ValueCountFrequency (%)
0 19824
3.4%
1 18330
3.1%
2 17028
2.9%
3 12808
2.2%
4 13067
2.2%
ValueCountFrequency (%)
10286 1
< 0.1%
8081 2
< 0.1%
7136 1
< 0.1%
7068 1
< 0.1%
6818 1
< 0.1%

dist2
Real number (ℝ)

MISSING 

Distinct1751
Distinct (%)4.7%
Missing552913
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean231.855423
Minimum0
Maximum11623
Zeros3519
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:40.078862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median37
Q3206
95-th percentile1001
Maximum11623
Range11623
Interquartile range (IQR)199

Descriptive statistics

Standard deviation529.0534936
Coefficient of variation (CV)2.28182497
Kurtosis58.68396189
Mean231.855423
Median Absolute Deviation (MAD)37
Skewness5.972514148
Sum8724024
Variance279897.599
MonotonicityNot monotonic
2024-11-14T14:13:40.243851image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 5687
 
1.0%
0 3519
 
0.6%
1 1374
 
0.2%
9 742
 
0.1%
4 659
 
0.1%
2 556
 
0.1%
3 490
 
0.1%
68 485
 
0.1%
6 412
 
0.1%
13 397
 
0.1%
Other values (1741) 23306
 
3.9%
(Missing) 552913
93.6%
ValueCountFrequency (%)
0 3519
0.6%
1 1374
 
0.2%
2 556
 
0.1%
3 490
 
0.1%
4 659
 
0.1%
ValueCountFrequency (%)
11623 1
< 0.1%
10237 2
< 0.1%
9337 1
< 0.1%
9103 1
< 0.1%
8787 1
< 0.1%

P_emaildomain
Text

MISSING 

Distinct59
Distinct (%)< 0.1%
Missing94456
Missing (%)16.0%
Memory size34.3 MiB
2024-11-14T14:13:40.460881image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length9.474877239
Min length5

Characters and Unicode

Total characters4700335
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowgmail.com
2nd rowoutlook.com
3rd rowyahoo.com
4th rowgmail.com
5th rowgmail.com
ValueCountFrequency (%)
gmail.com 228355
46.0%
yahoo.com 100934
20.3%
hotmail.com 45250
 
9.1%
anonymous.com 36998
 
7.5%
aol.com 28289
 
5.7%
comcast.net 7888
 
1.6%
icloud.com 6267
 
1.3%
outlook.com 5096
 
1.0%
msn.com 4092
 
0.8%
att.net 4033
 
0.8%
Other values (49) 28882
 
5.8%
2024-11-14T14:13:40.804848image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 867571
18.5%
m 802044
17.1%
. 498616
10.6%
c 498249
10.6%
a 465043
9.9%
l 334741
 
7.1%
i 294906
 
6.3%
g 232177
 
4.9%
h 152153
 
3.2%
y 142715
 
3.0%
Other values (18) 412120
8.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4700335
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 867571
18.5%
m 802044
17.1%
. 498616
10.6%
c 498249
10.6%
a 465043
9.9%
l 334741
 
7.1%
i 294906
 
6.3%
g 232177
 
4.9%
h 152153
 
3.2%
y 142715
 
3.0%
Other values (18) 412120
8.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4700335
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 867571
18.5%
m 802044
17.1%
. 498616
10.6%
c 498249
10.6%
a 465043
9.9%
l 334741
 
7.1%
i 294906
 
6.3%
g 232177
 
4.9%
h 152153
 
3.2%
y 142715
 
3.0%
Other values (18) 412120
8.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4700335
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 867571
18.5%
m 802044
17.1%
. 498616
10.6%
c 498249
10.6%
a 465043
9.9%
l 334741
 
7.1%
i 294906
 
6.3%
g 232177
 
4.9%
h 152153
 
3.2%
y 142715
 
3.0%
Other values (18) 412120
8.8%

R_emaildomain
Text

MISSING 

Distinct60
Distinct (%)< 0.1%
Missing453249
Missing (%)76.8%
Memory size22.6 MiB
2024-11-14T14:13:41.013877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length10.08251815
Min length5

Characters and Unicode

Total characters1384239
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowgmail.com
2nd rowhotmail.com
3rd rowgmail.com
4th rowgmail.com
5th rowoutlook.com
ValueCountFrequency (%)
gmail.com 57147
41.6%
hotmail.com 27509
20.0%
anonymous.com 20529
 
15.0%
yahoo.com 11842
 
8.6%
aol.com 3701
 
2.7%
outlook.com 2507
 
1.8%
comcast.net 1812
 
1.3%
yahoo.com.mx 1508
 
1.1%
icloud.com 1398
 
1.0%
msn.com 852
 
0.6%
Other values (50) 8486
 
6.2%
2024-11-14T14:13:41.405277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 245826
17.8%
m 242856
17.5%
. 139887
10.1%
c 136967
9.9%
a 127458
9.2%
l 97915
 
7.1%
i 90308
 
6.5%
g 58148
 
4.2%
n 48616
 
3.5%
h 42560
 
3.1%
Other values (18) 153698
11.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1384239
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 245826
17.8%
m 242856
17.5%
. 139887
10.1%
c 136967
9.9%
a 127458
9.2%
l 97915
 
7.1%
i 90308
 
6.5%
g 58148
 
4.2%
n 48616
 
3.5%
h 42560
 
3.1%
Other values (18) 153698
11.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1384239
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 245826
17.8%
m 242856
17.5%
. 139887
10.1%
c 136967
9.9%
a 127458
9.2%
l 97915
 
7.1%
i 90308
 
6.5%
g 58148
 
4.2%
n 48616
 
3.5%
h 42560
 
3.1%
Other values (18) 153698
11.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1384239
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 245826
17.8%
m 242856
17.5%
. 139887
10.1%
c 136967
9.9%
a 127458
9.2%
l 97915
 
7.1%
i 90308
 
6.5%
g 58148
 
4.2%
n 48616
 
3.5%
h 42560
 
3.1%
Other values (18) 153698
11.1%

C1
Real number (ℝ)

SKEWED 

Distinct1657
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.09245775
Minimum0
Maximum4685
Zeros494
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:41.701299image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile22
Maximum4685
Range4685
Interquartile range (IQR)2

Descriptive statistics

Standard deviation133.569018
Coefficient of variation (CV)9.478049916
Kurtosis669.3803362
Mean14.09245775
Median Absolute Deviation (MAD)0
Skewness23.95795965
Sum8322160
Variance17840.68257
MonotonicityNot monotonic
2024-11-14T14:13:41.855284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 316791
53.6%
2 105071
 
17.8%
3 51315
 
8.7%
4 28845
 
4.9%
5 17922
 
3.0%
6 10567
 
1.8%
7 7263
 
1.2%
8 5072
 
0.9%
9 3612
 
0.6%
10 2904
 
0.5%
Other values (1647) 41178
 
7.0%
ValueCountFrequency (%)
0 494
 
0.1%
1 316791
53.6%
2 105071
 
17.8%
3 51315
 
8.7%
4 28845
 
4.9%
ValueCountFrequency (%)
4685 1
< 0.1%
4684 1
< 0.1%
4682 2
< 0.1%
4681 1
< 0.1%
4680 1
< 0.1%

C2
Real number (ℝ)

SKEWED 

Distinct1216
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.26973448
Minimum0
Maximum5691
Zeros443
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:42.005289image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile27
Maximum5691
Range5691
Interquartile range (IQR)2

Descriptive statistics

Standard deviation154.6688992
Coefficient of variation (CV)10.12911517
Kurtosis655.1737465
Mean15.26973448
Median Absolute Deviation (MAD)0
Skewness23.67743271
Sum9017389
Variance23922.46838
MonotonicityNot monotonic
2024-11-14T14:13:42.159296image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 316261
53.6%
2 103948
 
17.6%
3 51770
 
8.8%
4 28251
 
4.8%
5 16971
 
2.9%
6 10682
 
1.8%
7 7382
 
1.3%
8 5105
 
0.9%
9 3750
 
0.6%
10 2797
 
0.5%
Other values (1206) 43623
 
7.4%
ValueCountFrequency (%)
0 443
 
0.1%
1 316261
53.6%
2 103948
 
17.6%
3 51770
 
8.8%
4 28251
 
4.8%
ValueCountFrequency (%)
5691 2
< 0.1%
5690 4
< 0.1%
5625 1
 
< 0.1%
5624 4
< 0.1%
5621 2
< 0.1%

C3
Real number (ℝ)

SKEWED  ZEROS 

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005643986859
Minimum0
Maximum26
Zeros588111
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:42.304297image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1505356218
Coefficient of variation (CV)26.67185902
Kurtosis11000.44059
Mean0.005643986859
Median Absolute Deviation (MAD)0
Skewness88.94974565
Sum3333
Variance0.02266097344
MonotonicityNot monotonic
2024-11-14T14:13:42.444301image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 588111
99.6%
1 2137
 
0.4%
2 180
 
< 0.1%
3 58
 
< 0.1%
4 7
 
< 0.1%
16 6
 
< 0.1%
9 5
 
< 0.1%
11 5
 
< 0.1%
5 3
 
< 0.1%
13 3
 
< 0.1%
Other values (17) 25
 
< 0.1%
ValueCountFrequency (%)
0 588111
99.6%
1 2137
 
0.4%
2 180
 
< 0.1%
3 58
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
26 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%

C4
Real number (ℝ)

SKEWED  ZEROS 

Distinct1260
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.092185119
Minimum0
Maximum2253
Zeros451883
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:42.594295image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2253
Range2253
Interquartile range (IQR)0

Descriptive statistics

Standard deviation68.84845856
Coefficient of variation (CV)16.82437538
Kurtosis543.4120907
Mean4.092185119
Median Absolute Deviation (MAD)0
Skewness22.07765908
Sum2416599
Variance4740.110246
MonotonicityNot monotonic
2024-11-14T14:13:42.751277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 451883
76.5%
1 111817
 
18.9%
2 12994
 
2.2%
3 4949
 
0.8%
4 1902
 
0.3%
5 851
 
0.1%
6 597
 
0.1%
7 372
 
0.1%
9 273
 
< 0.1%
10 233
 
< 0.1%
Other values (1250) 4669
 
0.8%
ValueCountFrequency (%)
0 451883
76.5%
1 111817
 
18.9%
2 12994
 
2.2%
3 4949
 
0.8%
4 1902
 
0.3%
ValueCountFrequency (%)
2253 1
< 0.1%
2252 1
< 0.1%
2251 1
< 0.1%
2250 1
< 0.1%
2249 1
< 0.1%

C5
Real number (ℝ)

ZEROS 

Distinct319
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.571526061
Minimum0
Maximum349
Zeros372435
Zeros (%)63.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:42.904288image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum349
Range349
Interquartile range (IQR)1

Descriptive statistics

Standard deviation25.78697582
Coefficient of variation (CV)4.62835057
Kurtosis35.98493702
Mean5.571526061
Median Absolute Deviation (MAD)0
Skewness5.793670043
Sum3290209
Variance664.968122
MonotonicityNot monotonic
2024-11-14T14:13:43.078278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 372435
63.1%
1 122883
 
20.8%
2 34776
 
5.9%
3 13189
 
2.2%
4 6828
 
1.2%
5 3763
 
0.6%
6 2837
 
0.5%
7 1906
 
0.3%
8 1443
 
0.2%
9 1076
 
0.2%
Other values (309) 29404
 
5.0%
ValueCountFrequency (%)
0 372435
63.1%
1 122883
 
20.8%
2 34776
 
5.9%
3 13189
 
2.2%
4 6828
 
1.2%
ValueCountFrequency (%)
349 1
 
< 0.1%
335 2
< 0.1%
333 1
 
< 0.1%
332 3
< 0.1%
331 2
< 0.1%

C6
Real number (ℝ)

ZEROS 

Distinct1328
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.071082399
Minimum0
Maximum2253
Zeros49066
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:43.259279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile15
Maximum2253
Range2253
Interquartile range (IQR)1

Descriptive statistics

Standard deviation71.50846739
Coefficient of variation (CV)7.883124002
Kurtosis463.8284387
Mean9.071082399
Median Absolute Deviation (MAD)0
Skewness19.76686254
Sum5356837
Variance5113.460908
MonotonicityNot monotonic
2024-11-14T14:13:43.450042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 341552
57.8%
2 86103
 
14.6%
0 49066
 
8.3%
3 35490
 
6.0%
4 17805
 
3.0%
5 10187
 
1.7%
6 6048
 
1.0%
7 3934
 
0.7%
8 3048
 
0.5%
9 2335
 
0.4%
Other values (1318) 34972
 
5.9%
ValueCountFrequency (%)
0 49066
 
8.3%
1 341552
57.8%
2 86103
 
14.6%
3 35490
 
6.0%
4 17805
 
3.0%
ValueCountFrequency (%)
2253 1
< 0.1%
2252 1
< 0.1%
2251 1
< 0.1%
2250 1
< 0.1%
2249 1
< 0.1%

C7
Real number (ℝ)

SKEWED  ZEROS 

Distinct1103
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.848477665
Minimum0
Maximum2255
Zeros523142
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:43.610616image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2255
Range2255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61.72730352
Coefficient of variation (CV)21.67027823
Kurtosis794.0041818
Mean2.848477665
Median Absolute Deviation (MAD)0
Skewness27.19404972
Sum1682140
Variance3810.259999
MonotonicityNot monotonic
2024-11-14T14:13:43.773630image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 523142
88.6%
1 51966
 
8.8%
2 7314
 
1.2%
3 2033
 
0.3%
4 1109
 
0.2%
5 481
 
0.1%
6 409
 
0.1%
7 267
 
< 0.1%
9 233
 
< 0.1%
10 175
 
< 0.1%
Other values (1093) 3411
 
0.6%
ValueCountFrequency (%)
0 523142
88.6%
1 51966
 
8.8%
2 7314
 
1.2%
3 2033
 
0.3%
4 1109
 
0.2%
ValueCountFrequency (%)
2255 1
< 0.1%
2254 1
< 0.1%
2253 1
< 0.1%
2252 1
< 0.1%
2251 1
< 0.1%

C8
Real number (ℝ)

SKEWED  ZEROS 

Distinct1253
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.144574457
Minimum0
Maximum3331
Zeros447667
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:43.945613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3331
Range3331
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95.37857365
Coefficient of variation (CV)18.53964297
Kurtosis742.4106687
Mean5.144574457
Median Absolute Deviation (MAD)0
Skewness26.08338187
Sum3038077
Variance9097.072311
MonotonicityNot monotonic
2024-11-14T14:13:44.114630image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 447667
75.8%
1 104994
 
17.8%
2 15927
 
2.7%
3 5493
 
0.9%
4 2817
 
0.5%
8 1790
 
0.3%
6 1774
 
0.3%
5 1721
 
0.3%
7 988
 
0.2%
9 718
 
0.1%
Other values (1243) 6651
 
1.1%
ValueCountFrequency (%)
0 447667
75.8%
1 104994
 
17.8%
2 15927
 
2.7%
3 5493
 
0.9%
4 2817
 
0.5%
ValueCountFrequency (%)
3331 1
< 0.1%
3330 1
< 0.1%
3328 2
< 0.1%
3327 1
< 0.1%
3326 1
< 0.1%

C9
Real number (ℝ)

ZEROS 

Distinct205
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.480240119
Minimum0
Maximum210
Zeros183795
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:44.275789image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9
Maximum210
Range210
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.67489671
Coefficient of variation (CV)3.721875672
Kurtosis35.52374625
Mean4.480240119
Median Absolute Deviation (MAD)1
Skewness5.693749982
Sum2645761
Variance278.0521802
MonotonicityNot monotonic
2024-11-14T14:13:44.446783image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 228938
38.8%
0 183795
31.1%
2 77829
 
13.2%
3 32505
 
5.5%
4 16196
 
2.7%
5 8648
 
1.5%
6 5760
 
1.0%
7 3529
 
0.6%
8 2548
 
0.4%
9 1871
 
0.3%
Other values (195) 28921
 
4.9%
ValueCountFrequency (%)
0 183795
31.1%
1 228938
38.8%
2 77829
 
13.2%
3 32505
 
5.5%
4 16196
 
2.7%
ValueCountFrequency (%)
210 2
 
< 0.1%
207 1
 
< 0.1%
205 2
 
< 0.1%
204 4
< 0.1%
203 5
< 0.1%

C10
Real number (ℝ)

SKEWED  ZEROS 

Distinct1231
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.240342737
Minimum0
Maximum3257
Zeros453442
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:44.644801image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3257
Range3257
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95.58144296
Coefficient of variation (CV)18.23954038
Kurtosis689.5872098
Mean5.240342737
Median Absolute Deviation (MAD)0
Skewness25.22051365
Sum3094632
Variance9135.812239
MonotonicityNot monotonic
2024-11-14T14:13:44.794797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 453442
76.8%
1 100231
 
17.0%
2 14938
 
2.5%
3 6417
 
1.1%
4 2836
 
0.5%
5 1806
 
0.3%
6 1286
 
0.2%
7 817
 
0.1%
8 627
 
0.1%
9 553
 
0.1%
Other values (1221) 7587
 
1.3%
ValueCountFrequency (%)
0 453442
76.8%
1 100231
 
17.0%
2 14938
 
2.5%
3 6417
 
1.1%
4 2836
 
0.5%
ValueCountFrequency (%)
3257 1
< 0.1%
3256 1
< 0.1%
3254 2
< 0.1%
3253 1
< 0.1%
3252 1
< 0.1%

C11
Real number (ℝ)

SKEWED 

Distinct1476
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.24152132
Minimum0
Maximum3188
Zeros1864
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:44.961635image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile14
Maximum3188
Range3188
Interquartile range (IQR)1

Descriptive statistics

Standard deviation94.33629183
Coefficient of variation (CV)9.211160031
Kurtosis583.1152168
Mean10.24152132
Median Absolute Deviation (MAD)0
Skewness22.35697487
Sum6048028
Variance8899.335956
MonotonicityNot monotonic
2024-11-14T14:13:45.125640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 389692
66.0%
2 89677
 
15.2%
3 34463
 
5.8%
4 16051
 
2.7%
5 9972
 
1.7%
6 5966
 
1.0%
7 3663
 
0.6%
8 2892
 
0.5%
0 1864
 
0.3%
9 1805
 
0.3%
Other values (1466) 34495
 
5.8%
ValueCountFrequency (%)
0 1864
 
0.3%
1 389692
66.0%
2 89677
 
15.2%
3 34463
 
5.8%
4 16051
 
2.7%
ValueCountFrequency (%)
3188 1
< 0.1%
3187 1
< 0.1%
3186 1
< 0.1%
3185 1
< 0.1%
3184 1
< 0.1%

C12
Real number (ℝ)

SKEWED  ZEROS 

Distinct1199
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.076226843
Minimum0
Maximum3188
Zeros489199
Zeros (%)82.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:45.290982image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3188
Range3188
Interquartile range (IQR)0

Descriptive statistics

Standard deviation86.66621767
Coefficient of variation (CV)21.2613824
Kurtosis809.5850547
Mean4.076226843
Median Absolute Deviation (MAD)0
Skewness27.41512949
Sum2407175
Variance7511.033286
MonotonicityNot monotonic
2024-11-14T14:13:45.653933image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 489199
82.8%
1 76661
 
13.0%
2 12242
 
2.1%
3 4185
 
0.7%
4 1716
 
0.3%
5 1085
 
0.2%
6 629
 
0.1%
7 393
 
0.1%
8 262
 
< 0.1%
9 177
 
< 0.1%
Other values (1189) 3991
 
0.7%
ValueCountFrequency (%)
0 489199
82.8%
1 76661
 
13.0%
2 12242
 
2.1%
3 4185
 
0.7%
4 1716
 
0.3%
ValueCountFrequency (%)
3188 1
< 0.1%
3187 1
< 0.1%
3186 1
< 0.1%
3185 1
< 0.1%
3184 1
< 0.1%

C13
Real number (ℝ)

ZEROS 

Distinct1597
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5399177
Minimum0
Maximum2918
Zeros35460
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:45.816598image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q312
95-th percentile102
Maximum2918
Range2918
Interquartile range (IQR)11

Descriptive statistics

Standard deviation129.3648444
Coefficient of variation (CV)3.975573805
Kurtosis127.0537398
Mean32.5399177
Median Absolute Deviation (MAD)2
Skewness8.986417308
Sum19216123
Variance16735.26298
MonotonicityNot monotonic
2024-11-14T14:13:45.976599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 199337
33.8%
2 57616
 
9.8%
0 35460
 
6.0%
3 33033
 
5.6%
4 23704
 
4.0%
5 18355
 
3.1%
6 15127
 
2.6%
7 13001
 
2.2%
8 11424
 
1.9%
9 10189
 
1.7%
Other values (1587) 173294
29.3%
ValueCountFrequency (%)
0 35460
 
6.0%
1 199337
33.8%
2 57616
 
9.8%
3 33033
 
5.6%
4 23704
 
4.0%
ValueCountFrequency (%)
2918 1
< 0.1%
2917 1
< 0.1%
2915 1
< 0.1%
2914 1
< 0.1%
2913 1
< 0.1%

C14
Real number (ℝ)

ZEROS 

Distinct1108
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.295214549
Minimum0
Maximum1429
Zeros35947
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:46.133587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile14
Maximum1429
Range1429
Interquartile range (IQR)1

Descriptive statistics

Standard deviation49.54426242
Coefficient of variation (CV)5.972631826
Kurtosis347.0919242
Mean8.295214549
Median Absolute Deviation (MAD)0
Skewness16.53488662
Sum4898656
Variance2454.633939
MonotonicityNot monotonic
2024-11-14T14:13:46.299585image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 320189
54.2%
2 93843
 
15.9%
3 44471
 
7.5%
0 35947
 
6.1%
4 25390
 
4.3%
5 15655
 
2.7%
6 8563
 
1.5%
7 5030
 
0.9%
8 3471
 
0.6%
9 2651
 
0.4%
Other values (1098) 35330
 
6.0%
ValueCountFrequency (%)
0 35947
 
6.1%
1 320189
54.2%
2 93843
 
15.9%
3 44471
 
7.5%
4 25390
 
4.3%
ValueCountFrequency (%)
1429 1
< 0.1%
1428 1
< 0.1%
1426 1
< 0.1%
1425 1
< 0.1%
1424 1
< 0.1%

D1
Real number (ℝ)

ZEROS 

Distinct641
Distinct (%)0.1%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean94.34756844
Minimum0
Maximum640
Zeros280130
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:46.457599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3122
95-th percentile489
Maximum640
Range640
Interquartile range (IQR)122

Descriptive statistics

Standard deviation157.6603865
Coefficient of variation (CV)1.671059351
Kurtosis2.19829146
Mean94.34756844
Median Absolute Deviation (MAD)3
Skewness1.805381265
Sum55596286
Variance24856.79748
MonotonicityNot monotonic
2024-11-14T14:13:46.621578image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 280130
47.4%
1 8634
 
1.5%
2 4969
 
0.8%
3 3954
 
0.7%
4 3570
 
0.6%
7 3455
 
0.6%
6 3164
 
0.5%
5 3076
 
0.5%
14 2979
 
0.5%
8 2637
 
0.4%
Other values (631) 272703
46.2%
ValueCountFrequency (%)
0 280130
47.4%
1 8634
 
1.5%
2 4969
 
0.8%
3 3954
 
0.7%
4 3570
 
0.6%
ValueCountFrequency (%)
640 14
 
< 0.1%
639 42
 
< 0.1%
638 79
 
< 0.1%
637 370
0.1%
636 198
< 0.1%

D2
Real number (ℝ)

MISSING  ZEROS 

Distinct641
Distinct (%)0.2%
Missing280797
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean169.5632315
Minimum0
Maximum640
Zeros15124
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:46.777588image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q126
median97
Q3276
95-th percentile540
Maximum640
Range640
Interquartile range (IQR)250

Descriptive statistics

Standard deviation177.3158649
Coefficient of variation (CV)1.045721195
Kurtosis-0.1686161847
Mean169.5632315
Median Absolute Deviation (MAD)88
Skewness1.015657727
Sum52521024
Variance31440.91596
MonotonicityNot monotonic
2024-11-14T14:13:46.939581image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15124
 
2.6%
1 6654
 
1.1%
2 4454
 
0.8%
3 3677
 
0.6%
4 3344
 
0.6%
7 3331
 
0.6%
6 3068
 
0.5%
5 2972
 
0.5%
14 2919
 
0.5%
8 2593
 
0.4%
Other values (631) 261607
44.3%
(Missing) 280797
47.5%
ValueCountFrequency (%)
0 15124
2.6%
1 6654
1.1%
2 4454
 
0.8%
3 3677
 
0.6%
4 3344
 
0.6%
ValueCountFrequency (%)
640 14
 
< 0.1%
639 36
 
< 0.1%
638 42
 
< 0.1%
637 288
< 0.1%
636 204
< 0.1%

D3
Real number (ℝ)

MISSING  ZEROS 

Distinct649
Distinct (%)0.2%
Missing262878
Missing (%)44.5%
Infinite0
Infinite (%)0.0%
Mean28.34334772
Minimum0
Maximum819
Zeros73094
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:47.108599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q327
95-th percentile129
Maximum819
Range819
Interquartile range (IQR)26

Descriptive statistics

Standard deviation62.38472137
Coefficient of variation (CV)2.201035742
Kurtosis24.94739783
Mean28.34334772
Median Absolute Deviation (MAD)8
Skewness4.539277578
Sum9287038
Variance3891.85346
MonotonicityNot monotonic
2024-11-14T14:13:47.265581image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73094
 
12.4%
1 21258
 
3.6%
2 13789
 
2.3%
7 13320
 
2.3%
3 10786
 
1.8%
4 9552
 
1.6%
14 9547
 
1.6%
6 9245
 
1.6%
5 8800
 
1.5%
8 8092
 
1.4%
Other values (639) 150179
25.4%
(Missing) 262878
44.5%
ValueCountFrequency (%)
0 73094
12.4%
1 21258
 
3.6%
2 13789
 
2.3%
3 10786
 
1.8%
4 9552
 
1.6%
ValueCountFrequency (%)
819 1
< 0.1%
784 2
< 0.1%
749 1
< 0.1%
731 1
< 0.1%
729 2
< 0.1%

D4
Real number (ℝ)

MISSING  ZEROS 

Distinct808
Distinct (%)0.2%
Missing168922
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean140.0024406
Minimum-122
Maximum869
Zeros166571
Zeros (%)28.2%
Negative15
Negative (%)< 0.1%
Memory size4.5 MiB
2024-11-14T14:13:47.444590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-122
5-th percentile0
Q10
median26
Q3253
95-th percentile544
Maximum869
Range991
Interquartile range (IQR)253

Descriptive statistics

Standard deviation191.0967735
Coefficient of variation (CV)1.364953159
Kurtosis-0.03160053481
Mean140.0024406
Median Absolute Deviation (MAD)26
Skewness1.171330828
Sum59027549
Variance36517.97685
MonotonicityNot monotonic
2024-11-14T14:13:47.631594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 166571
28.2%
1 5315
 
0.9%
2 3385
 
0.6%
3 2572
 
0.4%
4 2354
 
0.4%
7 2317
 
0.4%
5 2172
 
0.4%
14 2117
 
0.4%
6 2038
 
0.3%
8 1780
 
0.3%
Other values (798) 230997
39.1%
(Missing) 168922
28.6%
ValueCountFrequency (%)
-122 1
< 0.1%
-90 1
< 0.1%
-83 1
< 0.1%
-74 1
< 0.1%
-53 1
< 0.1%
ValueCountFrequency (%)
869 1
 
< 0.1%
864 1
 
< 0.1%
860 1
 
< 0.1%
855 4
< 0.1%
846 1
 
< 0.1%

D5
Real number (ℝ)

MISSING  ZEROS 

Distinct688
Distinct (%)0.2%
Missing309841
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean42.33596486
Minimum0
Maximum819
Zeros65377
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:47.875208image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q332
95-th percentile246
Maximum819
Range819
Interquartile range (IQR)31

Descriptive statistics

Standard deviation89.00014434
Coefficient of variation (CV)2.102234935
Kurtosis12.38489811
Mean42.33596486
Median Absolute Deviation (MAD)10
Skewness3.393108882
Sum11883663
Variance7921.025693
MonotonicityNot monotonic
2024-11-14T14:13:48.094197image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65377
 
11.1%
1 15282
 
2.6%
2 10244
 
1.7%
7 9734
 
1.6%
3 7987
 
1.4%
14 7340
 
1.2%
4 7176
 
1.2%
6 6907
 
1.2%
5 6696
 
1.1%
8 6140
 
1.0%
Other values (678) 137816
23.3%
(Missing) 309841
52.5%
ValueCountFrequency (%)
0 65377
11.1%
1 15282
 
2.6%
2 10244
 
1.7%
3 7987
 
1.4%
4 7176
 
1.2%
ValueCountFrequency (%)
819 1
< 0.1%
801 1
< 0.1%
775 1
< 0.1%
760 1
< 0.1%
757 1
< 0.1%

D6
Real number (ℝ)

MISSING  ZEROS 

Distinct829
Distinct (%)1.1%
Missing517353
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean69.80571686
Minimum-83
Maximum873
Zeros45782
Zeros (%)7.8%
Negative3
Negative (%)< 0.1%
Memory size4.5 MiB
2024-11-14T14:13:48.327195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-83
5-th percentile0
Q10
median0
Q340
95-th percentile405
Maximum873
Range956
Interquartile range (IQR)40

Descriptive statistics

Standard deviation143.6692529
Coefficient of variation (CV)2.058130185
Kurtosis4.698999132
Mean69.80571686
Median Absolute Deviation (MAD)0
Skewness2.261763336
Sum5108871
Variance20640.85424
MonotonicityNot monotonic
2024-11-14T14:13:48.515199image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45782
 
7.8%
1 1588
 
0.3%
256 895
 
0.2%
2 855
 
0.1%
3 642
 
0.1%
4 579
 
0.1%
5 436
 
0.1%
7 380
 
0.1%
6 353
 
0.1%
249 344
 
0.1%
Other values (819) 21333
 
3.6%
(Missing) 517353
87.6%
ValueCountFrequency (%)
-83 1
 
< 0.1%
-74 1
 
< 0.1%
-6 1
 
< 0.1%
0 45782
7.8%
1 1588
 
0.3%
ValueCountFrequency (%)
873 1
< 0.1%
871 1
< 0.1%
869 2
< 0.1%
866 1
< 0.1%
865 1
< 0.1%

D7
Real number (ℝ)

MISSING  ZEROS 

Distinct597
Distinct (%)1.5%
Missing551623
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean41.63894956
Minimum0
Maximum843
Zeros21135
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:48.752208image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317
95-th percentile321
Maximum843
Range843
Interquartile range (IQR)17

Descriptive statistics

Standard deviation99.74326354
Coefficient of variation (CV)2.395431792
Kurtosis8.676723426
Mean41.63894956
Median Absolute Deviation (MAD)0
Skewness2.950262329
Sum1620463
Variance9948.718622
MonotonicityNot monotonic
2024-11-14T14:13:48.976197image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21135
 
3.6%
1 1717
 
0.3%
2 998
 
0.2%
3 791
 
0.1%
7 606
 
0.1%
4 601
 
0.1%
5 513
 
0.1%
6 435
 
0.1%
8 387
 
0.1%
9 300
 
0.1%
Other values (587) 11434
 
1.9%
(Missing) 551623
93.4%
ValueCountFrequency (%)
0 21135
3.6%
1 1717
 
0.3%
2 998
 
0.2%
3 791
 
0.1%
4 601
 
0.1%
ValueCountFrequency (%)
843 1
< 0.1%
801 1
< 0.1%
770 1
< 0.1%
760 1
< 0.1%
759 1
< 0.1%

D8
Real number (ℝ)

MISSING 

Distinct12353
Distinct (%)16.5%
Missing515614
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean146.0581076
Minimum0
Maximum1707.791626
Zeros835
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:49.165201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.125
Q10.9583330154
median37.875
Q3187.9583282
95-th percentile738.6562653
Maximum1707.791626
Range1707.791626
Interquartile range (IQR)186.9999952

Descriptive statistics

Standard deviation231.66384
Coefficient of variation (CV)1.586107363
Kurtosis4.861536239
Mean146.0581076
Median Absolute Deviation (MAD)37.458334
Skewness2.237444094
Sum10943549.77
Variance53668.13475
MonotonicityNot monotonic
2024-11-14T14:13:49.340198image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7916659713 1351
 
0.2%
0.8333330154 1327
 
0.2%
0.875 1304
 
0.2%
0.9583330154 1300
 
0.2%
0.9166659713 1259
 
0.2%
0.75 1248
 
0.2%
0.7083330154 1175
 
0.2%
0.08333300054 1118
 
0.2%
0.6666659713 1097
 
0.2%
0.125 1028
 
0.2%
Other values (12343) 62719
 
10.6%
(Missing) 515614
87.3%
ValueCountFrequency (%)
0 835
0.1%
0.04166600108 973
0.2%
0.08333300054 1118
0.2%
0.125 1028
0.2%
0.1666660011 877
0.1%
ValueCountFrequency (%)
1707.791626 1
< 0.1%
1638.875 1
< 0.1%
1543.541626 1
< 0.1%
1517.833374 2
< 0.1%
1376.541626 1
< 0.1%

D9
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)< 0.1%
Missing515614
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean0.5610571266
Minimum0
Maximum0.9583330154
Zeros4190
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:49.547201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2083330005
median0.6666659713
Q30.8333330154
95-th percentile0.9583330154
Maximum0.9583330154
Range0.9583330154
Interquartile range (IQR)0.6250000149

Descriptive statistics

Standard deviation0.3168795657
Coefficient of variation (CV)0.5647901981
Kurtosis-1.139471258
Mean0.5610571266
Median Absolute Deviation (MAD)0.1666670442
Skewness-0.585905335
Sum42037.76627
Variance0.1004126592
MonotonicityNot monotonic
2024-11-14T14:13:49.707201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.7916659713 5388
 
0.9%
0.8333330154 5273
 
0.9%
0.75 5147
 
0.9%
0.7083330154 5132
 
0.9%
0.6666659713 5069
 
0.9%
0.875 4857
 
0.8%
0.9166659713 4694
 
0.8%
0.9583330154 4411
 
0.7%
0.625 4380
 
0.7%
0 4190
 
0.7%
Other values (14) 26385
 
4.5%
(Missing) 515614
87.3%
ValueCountFrequency (%)
0 4190
0.7%
0.04166600108 3826
0.6%
0.08333300054 3726
0.6%
0.125 3308
0.6%
0.1666660011 2786
0.5%
ValueCountFrequency (%)
0.9583330154 4411
0.7%
0.9166659713 4694
0.8%
0.875 4857
0.8%
0.8333330154 5273
0.9%
0.7916659713 5388
0.9%

D10
Real number (ℝ)

MISSING  ZEROS 

Distinct818
Distinct (%)0.2%
Missing76022
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean123.9821367
Minimum0
Maximum876
Zeros221930
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:49.874203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q3197
95-th percentile535
Maximum876
Range876
Interquartile range (IQR)197

Descriptive statistics

Standard deviation182.6152245
Coefficient of variation (CV)1.47291561
Kurtosis0.6188752779
Mean123.9821367
Median Absolute Deviation (MAD)15
Skewness1.391509631
Sum63791041
Variance33348.32023
MonotonicityNot monotonic
2024-11-14T14:13:50.059764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 221930
37.6%
1 5186
 
0.9%
2 3482
 
0.6%
3 2756
 
0.5%
7 2740
 
0.5%
14 2512
 
0.4%
5 2377
 
0.4%
28 2346
 
0.4%
4 2344
 
0.4%
6 2303
 
0.4%
Other values (808) 266542
45.1%
(Missing) 76022
 
12.9%
ValueCountFrequency (%)
0 221930
37.6%
1 5186
 
0.9%
2 3482
 
0.6%
3 2756
 
0.5%
4 2344
 
0.4%
ValueCountFrequency (%)
876 1
< 0.1%
869 1
< 0.1%
866 1
< 0.1%
865 1
< 0.1%
864 1
< 0.1%

D11
Real number (ℝ)

MISSING  ZEROS 

Distinct676
Distinct (%)0.2%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean146.6214655
Minimum-53
Maximum670
Zeros112281
Zeros (%)19.0%
Negative7
Negative (%)< 0.1%
Memory size4.5 MiB
2024-11-14T14:13:50.226979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median43
Q3274
95-th percentile532
Maximum670
Range723
Interquartile range (IQR)274

Descriptive statistics

Standard deviation186.042622
Coefficient of variation (CV)1.268863474
Kurtosis-0.2543764527
Mean146.6214655
Median Absolute Deviation (MAD)43
Skewness1.051193639
Sum45636371
Variance34611.85721
MonotonicityNot monotonic
2024-11-14T14:13:50.397672image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 112281
19.0%
1 3165
 
0.5%
2 2020
 
0.3%
3 1642
 
0.3%
7 1639
 
0.3%
14 1496
 
0.3%
4 1449
 
0.2%
6 1440
 
0.2%
5 1424
 
0.2%
28 1313
 
0.2%
Other values (666) 183384
31.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
-53 1
< 0.1%
-33 1
< 0.1%
-29 1
< 0.1%
-28 1
< 0.1%
-15 1
< 0.1%
ValueCountFrequency (%)
670 1
 
< 0.1%
668 1
 
< 0.1%
666 2
 
< 0.1%
665 2
 
< 0.1%
664 9
< 0.1%

D12
Real number (ℝ)

MISSING  ZEROS 

Distinct635
Distinct (%)1.0%
Missing525823
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean54.03753264
Minimum-83
Maximum648
Zeros42756
Zeros (%)7.2%
Negative2
Negative (%)< 0.1%
Memory size4.5 MiB
2024-11-14T14:13:50.564659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-83
5-th percentile0
Q10
median0
Q313
95-th percentile381
Maximum648
Range731
Interquartile range (IQR)13

Descriptive statistics

Standard deviation124.2745584
Coefficient of variation (CV)2.29978225
Kurtosis5.042999324
Mean54.03753264
Median Absolute Deviation (MAD)0
Skewness2.459859965
Sum3497147
Variance15444.16586
MonotonicityNot monotonic
2024-11-14T14:13:50.736658image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42756
 
7.2%
1 1526
 
0.3%
2 818
 
0.1%
3 634
 
0.1%
4 564
 
0.1%
5 418
 
0.1%
7 373
 
0.1%
6 341
 
0.1%
8 273
 
< 0.1%
9 249
 
< 0.1%
Other values (625) 16765
 
2.8%
(Missing) 525823
89.0%
ValueCountFrequency (%)
-83 1
 
< 0.1%
-74 1
 
< 0.1%
0 42756
7.2%
1 1526
 
0.3%
2 818
 
0.1%
ValueCountFrequency (%)
648 6
< 0.1%
647 1
 
< 0.1%
645 1
 
< 0.1%
644 1
 
< 0.1%
640 3
< 0.1%

D13
Real number (ℝ)

MISSING  ZEROS 

Distinct577
Distinct (%)0.9%
Missing528588
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean17.90129455
Minimum0
Maximum847
Zeros48840
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:51.115656image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile109
Maximum847
Range847
Interquartile range (IQR)0

Descriptive statistics

Standard deviation67.61442502
Coefficient of variation (CV)3.777069018
Kurtosis34.44143465
Mean17.90129455
Median Absolute Deviation (MAD)0
Skewness5.409785756
Sum1109021
Variance4571.710471
MonotonicityNot monotonic
2024-11-14T14:13:51.272648image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48840
 
8.3%
1 1097
 
0.2%
26 891
 
0.2%
2 623
 
0.1%
3 476
 
0.1%
4 366
 
0.1%
19 343
 
0.1%
5 316
 
0.1%
7 303
 
0.1%
6 262
 
< 0.1%
Other values (567) 8435
 
1.4%
(Missing) 528588
89.5%
ValueCountFrequency (%)
0 48840
8.3%
1 1097
 
0.2%
2 623
 
0.1%
3 476
 
0.1%
4 366
 
0.1%
ValueCountFrequency (%)
847 1
< 0.1%
820 1
< 0.1%
818 1
< 0.1%
815 1
< 0.1%
807 1
< 0.1%

D14
Real number (ℝ)

MISSING  ZEROS 

Distinct802
Distinct (%)1.3%
Missing528353
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean57.72444402
Minimum-193
Maximum878
Zeros45266
Zeros (%)7.7%
Negative3
Negative (%)< 0.1%
Memory size4.5 MiB
2024-11-14T14:13:51.433650image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-193
5-th percentile0
Q10
median0
Q32
95-th percentile396
Maximum878
Range1071
Interquartile range (IQR)2

Descriptive statistics

Standard deviation136.3124503
Coefficient of variation (CV)2.36143375
Kurtosis6.312631074
Mean57.72444402
Median Absolute Deviation (MAD)0
Skewness2.577020364
Sum3589710
Variance18581.0841
MonotonicityNot monotonic
2024-11-14T14:13:51.593660image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45266
 
7.7%
1 1105
 
0.2%
256 658
 
0.1%
2 495
 
0.1%
3 307
 
0.1%
249 284
 
< 0.1%
4 260
 
< 0.1%
7 233
 
< 0.1%
5 210
 
< 0.1%
6 183
 
< 0.1%
Other values (792) 13186
 
2.2%
(Missing) 528353
89.5%
ValueCountFrequency (%)
-193 2
 
< 0.1%
-83 1
 
< 0.1%
0 45266
7.7%
1 1105
 
0.2%
2 495
 
0.1%
ValueCountFrequency (%)
878 1
< 0.1%
869 1
< 0.1%
868 1
< 0.1%
867 1
< 0.1%
860 1
< 0.1%

D15
Real number (ℝ)

MISSING  ZEROS 

Distinct859
Distinct (%)0.2%
Missing89113
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean163.744579
Minimum-83
Maximum879
Zeros174246
Zeros (%)29.5%
Negative15
Negative (%)< 0.1%
Memory size4.5 MiB
2024-11-14T14:13:51.752660image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-83
5-th percentile0
Q10
median52
Q3314
95-th percentile566
Maximum879
Range962
Interquartile range (IQR)314

Descriptive statistics

Standard deviation202.7266599
Coefficient of variation (CV)1.238066391
Kurtosis-0.5279141405
Mean163.744579
Median Absolute Deviation (MAD)52
Skewness0.9573551582
Sum82105953
Variance41098.09863
MonotonicityNot monotonic
2024-11-14T14:13:51.907645image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174246
29.5%
1 5936
 
1.0%
2 3691
 
0.6%
3 2878
 
0.5%
7 2577
 
0.4%
4 2573
 
0.4%
5 2336
 
0.4%
6 2276
 
0.4%
14 2265
 
0.4%
8 1973
 
0.3%
Other values (849) 300676
50.9%
(Missing) 89113
 
15.1%
ValueCountFrequency (%)
-83 1
< 0.1%
-74 1
< 0.1%
-60 1
< 0.1%
-53 2
< 0.1%
-30 1
< 0.1%
ValueCountFrequency (%)
879 1
< 0.1%
878 1
< 0.1%
876 1
< 0.1%
868 1
< 0.1%
867 1
< 0.1%

M1
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing271100
Missing (%)45.9%
Memory size25.9 MiB
2024-11-14T14:13:51.995673image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters319440
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowT
3rd rowT
4th rowT
5th rowT
ValueCountFrequency (%)
t 319415
> 99.9%
f 25
 
< 0.1%
2024-11-14T14:13:52.222278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 319415
> 99.9%
F 25
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 319440
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 319415
> 99.9%
F 25
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 319440
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 319415
> 99.9%
F 25
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 319440
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 319415
> 99.9%
F 25
 
< 0.1%

M2
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing271100
Missing (%)45.9%
Memory size25.9 MiB
2024-11-14T14:13:52.310949image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters319440
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowT
3rd rowT
4th rowT
5th rowT
ValueCountFrequency (%)
t 285468
89.4%
f 33972
 
10.6%
2024-11-14T14:13:52.523005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 285468
89.4%
F 33972
 
10.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 319440
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 285468
89.4%
F 33972
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 319440
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 285468
89.4%
F 33972
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 319440
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 285468
89.4%
F 33972
 
10.6%

M3
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing271100
Missing (%)45.9%
Memory size25.9 MiB
2024-11-14T14:13:52.599974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters319440
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowT
3rd rowT
4th rowT
5th rowT
ValueCountFrequency (%)
t 251731
78.8%
f 67709
 
21.2%
2024-11-14T14:13:52.804973image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 251731
78.8%
F 67709
 
21.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 319440
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 251731
78.8%
F 67709
 
21.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 319440
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 251731
78.8%
F 67709
 
21.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 319440
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 251731
78.8%
F 67709
 
21.2%

M4
Text

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing281444
Missing (%)47.7%
Memory size26.0 MiB
2024-11-14T14:13:52.905986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters618192
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM2
2nd rowM0
3rd rowM0
4th rowM0
5th rowM1
ValueCountFrequency (%)
m0 196405
63.5%
m2 59865
 
19.4%
m1 52826
 
17.1%
2024-11-14T14:13:53.148007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M 309096
50.0%
0 196405
31.8%
2 59865
 
9.7%
1 52826
 
8.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 618192
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
M 309096
50.0%
0 196405
31.8%
2 59865
 
9.7%
1 52826
 
8.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 618192
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
M 309096
50.0%
0 196405
31.8%
2 59865
 
9.7%
1 52826
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 618192
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
M 309096
50.0%
0 196405
31.8%
2 59865
 
9.7%
1 52826
 
8.5%

M5
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing350482
Missing (%)59.3%
Memory size24.0 MiB
2024-11-14T14:13:53.227977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters240058
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowT
3rd rowF
4th rowT
5th rowF
ValueCountFrequency (%)
f 132491
55.2%
t 107567
44.8%
2024-11-14T14:13:53.430988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F 132491
55.2%
T 107567
44.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 240058
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F 132491
55.2%
T 107567
44.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 240058
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F 132491
55.2%
T 107567
44.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 240058
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F 132491
55.2%
T 107567
44.8%

M6
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing169360
Missing (%)28.7%
Memory size28.5 MiB
2024-11-14T14:13:53.510975image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters421180
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowT
3rd rowF
4th rowF
5th rowT
ValueCountFrequency (%)
f 227856
54.1%
t 193324
45.9%
2024-11-14T14:13:53.709971image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F 227856
54.1%
T 193324
45.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 421180
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F 227856
54.1%
T 193324
45.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 421180
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F 227856
54.1%
T 193324
45.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 421180
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F 227856
54.1%
T 193324
45.9%

M7
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing346265
Missing (%)58.6%
Memory size24.1 MiB
2024-11-14T14:13:53.791981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters244275
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowT
3rd rowF
4th rowF
5th rowF
ValueCountFrequency (%)
f 211374
86.5%
t 32901
 
13.5%
2024-11-14T14:13:53.994001image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F 211374
86.5%
T 32901
 
13.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 244275
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F 211374
86.5%
T 32901
 
13.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 244275
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F 211374
86.5%
T 32901
 
13.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 244275
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F 211374
86.5%
T 32901
 
13.5%

M8
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing346252
Missing (%)58.6%
Memory size24.1 MiB
2024-11-14T14:13:54.070991image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters244288
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowT
3rd rowF
4th rowT
5th rowF
ValueCountFrequency (%)
f 155251
63.6%
t 89037
36.4%
2024-11-14T14:13:54.269979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F 155251
63.6%
T 89037
36.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 244288
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F 155251
63.6%
T 89037
36.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 244288
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F 155251
63.6%
T 89037
36.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 244288
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F 155251
63.6%
T 89037
36.4%

M9
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing346252
Missing (%)58.6%
Memory size24.1 MiB
2024-11-14T14:13:54.345979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters244288
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowT
3rd rowT
4th rowT
5th rowT
ValueCountFrequency (%)
t 205656
84.2%
f 38632
 
15.8%
2024-11-14T14:13:54.580075image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 205656
84.2%
F 38632
 
15.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 244288
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 205656
84.2%
F 38632
 
15.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 244288
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 205656
84.2%
F 38632
 
15.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 244288
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 205656
84.2%
F 38632
 
15.8%

V1
Real number (ℝ)

MISSING  SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean0.9999453821
Minimum0
Maximum1
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:54.691058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.007390205667
Coefficient of variation (CV)0.007390609327
Kurtosis18304.29411
Mean0.9999453821
Median Absolute Deviation (MAD)0
Skewness-135.3003197
Sum311236
Variance5.461513981 × 10-5
MonotonicityNot monotonic
2024-11-14T14:13:54.809058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 311236
52.7%
0 17
 
< 0.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
0 17
 
< 0.1%
1 311236
52.7%
ValueCountFrequency (%)
1 311236
52.7%
0 17
 
< 0.1%

V2
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.045204384
Minimum0
Maximum8
Zeros20
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:54.934059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2401328882
Coefficient of variation (CV)0.229747303
Kurtosis65.13705467
Mean1.045204384
Median Absolute Deviation (MAD)0
Skewness6.756876489
Sum325323
Variance0.057663804
MonotonicityNot monotonic
2024-11-14T14:13:55.069057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 298894
50.6%
2 10926
 
1.9%
3 1181
 
0.2%
4 163
 
< 0.1%
5 36
 
< 0.1%
6 30
 
< 0.1%
0 20
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
0 20
 
< 0.1%
1 298894
50.6%
2 10926
 
1.9%
3 1181
 
0.2%
4 163
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 2
 
< 0.1%
6 30
 
< 0.1%
5 36
 
< 0.1%
4 163
< 0.1%

V3
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)< 0.1%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.078074749
Minimum0
Maximum9
Zeros20
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:55.200061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3208898249
Coefficient of variation (CV)0.2976508123
Kurtosis42.15714361
Mean1.078074749
Median Absolute Deviation (MAD)0
Skewness5.375158019
Sum335554
Variance0.1029702798
MonotonicityNot monotonic
2024-11-14T14:13:55.317055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 290583
49.2%
2 17763
 
3.0%
3 2335
 
0.4%
4 403
 
0.1%
5 93
 
< 0.1%
6 34
 
< 0.1%
0 20
 
< 0.1%
7 18
 
< 0.1%
8 3
 
< 0.1%
9 1
 
< 0.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
0 20
 
< 0.1%
1 290583
49.2%
2 17763
 
3.0%
3 2335
 
0.4%
4 403
 
0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 3
 
< 0.1%
7 18
 
< 0.1%
6 34
 
< 0.1%
5 93
< 0.1%

V4
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean0.8464560984
Minimum0
Maximum6
Zeros56687
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:55.432060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4400532867
Coefficient of variation (CV)0.5198772713
Kurtosis3.254766134
Mean0.8464560984
Median Absolute Deviation (MAD)0
Skewness-0.4330045062
Sum263462
Variance0.1936468951
MonotonicityNot monotonic
2024-11-14T14:13:55.544068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 246500
41.7%
0 56687
 
9.6%
2 7385
 
1.3%
3 564
 
0.1%
4 88
 
< 0.1%
5 26
 
< 0.1%
6 3
 
< 0.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
0 56687
 
9.6%
1 246500
41.7%
2 7385
 
1.3%
3 564
 
0.1%
4 88
 
< 0.1%
ValueCountFrequency (%)
6 3
 
< 0.1%
5 26
 
< 0.1%
4 88
 
< 0.1%
3 564
 
0.1%
2 7385
1.3%

V5
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean0.8769907439
Minimum0
Maximum6
Zeros54276
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:55.659069image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4759024963
Coefficient of variation (CV)0.5426539558
Kurtosis5.496249066
Mean0.8769907439
Median Absolute Deviation (MAD)0
Skewness0.2312624378
Sum272966
Variance0.226483186
MonotonicityNot monotonic
2024-11-14T14:13:55.778057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 242883
41.1%
0 54276
 
9.2%
2 12610
 
2.1%
3 1200
 
0.2%
4 193
 
< 0.1%
5 55
 
< 0.1%
6 36
 
< 0.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
0 54276
 
9.2%
1 242883
41.1%
2 12610
 
2.1%
3 1200
 
0.2%
4 193
 
< 0.1%
ValueCountFrequency (%)
6 36
 
< 0.1%
5 55
 
< 0.1%
4 193
 
< 0.1%
3 1200
 
0.2%
2 12610
2.1%

V6
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)< 0.1%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.045686307
Minimum0
Maximum9
Zeros18
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:55.903060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2393849288
Coefficient of variation (CV)0.228926139
Kurtosis66.65326152
Mean1.045686307
Median Absolute Deviation (MAD)0
Skewness6.7066845
Sum325473
Variance0.05730514413
MonotonicityNot monotonic
2024-11-14T14:13:56.023055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 298627
50.6%
2 11319
 
1.9%
3 1044
 
0.2%
4 180
 
< 0.1%
5 46
 
< 0.1%
0 18
 
< 0.1%
6 11
 
< 0.1%
7 5
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
0 18
 
< 0.1%
1 298627
50.6%
2 11319
 
1.9%
3 1044
 
0.2%
4 180
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 2
 
< 0.1%
7 5
 
< 0.1%
6 11
 
< 0.1%
5 46
< 0.1%

V7
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)< 0.1%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.07286998
Minimum0
Maximum9
Zeros18
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:56.141054image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3047788069
Coefficient of variation (CV)0.2840780453
Kurtosis45.78282519
Mean1.07286998
Median Absolute Deviation (MAD)0
Skewness5.498782314
Sum333934
Variance0.09289012111
MonotonicityNot monotonic
2024-11-14T14:13:56.260064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 291485
49.4%
2 17464
 
3.0%
3 1823
 
0.3%
4 337
 
0.1%
5 83
 
< 0.1%
7 20
 
< 0.1%
0 18
 
< 0.1%
6 18
 
< 0.1%
8 4
 
< 0.1%
9 1
 
< 0.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
0 18
 
< 0.1%
1 291485
49.4%
2 17464
 
3.0%
3 1823
 
0.3%
4 337
 
0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 4
 
< 0.1%
7 20
 
< 0.1%
6 18
 
< 0.1%
5 83
< 0.1%

V8
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.027704151
Minimum0
Maximum8
Zeros24
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:56.383065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1860693645
Coefficient of variation (CV)0.1810534329
Kurtosis109.2125707
Mean1.027704151
Median Absolute Deviation (MAD)0
Skewness8.590511422
Sum319876
Variance0.0346218084
MonotonicityNot monotonic
2024-11-14T14:13:56.520059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 303466
51.4%
2 7076
 
1.2%
3 553
 
0.1%
4 95
 
< 0.1%
0 24
 
< 0.1%
6 19
 
< 0.1%
5 18
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
0 24
 
< 0.1%
1 303466
51.4%
2 7076
 
1.2%
3 553
 
0.1%
4 95
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 1
 
< 0.1%
6 19
 
< 0.1%
5 18
 
< 0.1%
4 95
< 0.1%

V9
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.041528917
Minimum0
Maximum8
Zeros24
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:56.703599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2263387287
Coefficient of variation (CV)0.2173139171
Kurtosis71.54946227
Mean1.041528917
Median Absolute Deviation (MAD)0
Skewness6.92690467
Sum324179
Variance0.05122922011
MonotonicityNot monotonic
2024-11-14T14:13:56.866237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 299625
50.7%
2 10544
 
1.8%
3 848
 
0.1%
4 172
 
< 0.1%
0 24
 
< 0.1%
5 19
 
< 0.1%
7 11
 
< 0.1%
6 9
 
< 0.1%
8 1
 
< 0.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
0 24
 
< 0.1%
1 299625
50.7%
2 10544
 
1.8%
3 848
 
0.1%
4 172
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 11
 
< 0.1%
6 9
 
< 0.1%
5 19
 
< 0.1%
4 172
< 0.1%

V10
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean0.4639152072
Minimum0
Maximum4
Zeros170281
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:57.022238image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.521522084
Coefficient of variation (CV)1.124175444
Kurtosis-1.056884102
Mean0.4639152072
Median Absolute Deviation (MAD)0
Skewness0.4188282271
Sum144395
Variance0.2719852841
MonotonicityNot monotonic
2024-11-14T14:13:57.170231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 170281
28.8%
1 137743
23.3%
2 3042
 
0.5%
3 180
 
< 0.1%
4 7
 
< 0.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
0 170281
28.8%
1 137743
23.3%
2 3042
 
0.5%
3 180
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
4 7
 
< 0.1%
3 180
 
< 0.1%
2 3042
 
0.5%
1 137743
23.3%
0 170281
28.8%

V11
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing279287
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean0.4789865479
Minimum0
Maximum5
Zeros169633
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:57.314231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5524307764
Coefficient of variation (CV)1.153332549
Kurtosis0.5822515263
Mean0.4789865479
Median Absolute Deviation (MAD)0
Skewness0.7365921523
Sum149086
Variance0.3051797628
MonotonicityNot monotonic
2024-11-14T14:13:57.462249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 169633
28.7%
1 135148
22.9%
2 5672
 
1.0%
3 608
 
0.1%
4 190
 
< 0.1%
5 2
 
< 0.1%
(Missing) 279287
47.3%
ValueCountFrequency (%)
0 169633
28.7%
1 135148
22.9%
2 5672
 
1.0%
3 608
 
0.1%
4 190
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 190
 
< 0.1%
3 608
 
0.1%
2 5672
 
1.0%
1 135148
22.9%

V12
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.5597113129
Minimum0
Maximum3
Zeros230049
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:57.646234image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5105330019
Coefficient of variation (CV)0.9121362926
Kurtosis-1.524417348
Mean0.5597113129
Median Absolute Deviation (MAD)0
Skewness-0.06960672712
Sum287953
Variance0.260643946
MonotonicityNot monotonic
2024-11-14T14:13:57.771231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 281003
47.6%
0 230049
39.0%
2 3295
 
0.6%
3 120
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 230049
39.0%
1 281003
47.6%
2 3295
 
0.6%
3 120
 
< 0.1%
ValueCountFrequency (%)
3 120
 
< 0.1%
2 3295
 
0.6%
1 281003
47.6%
0 230049
39.0%

V13
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.5991657385
Minimum0
Maximum6
Zeros216752
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:57.910235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5321850943
Coefficient of variation (CV)0.8882101564
Kurtosis-0.7059294082
Mean0.5991657385
Median Absolute Deviation (MAD)0
Skewness0.07660363843
Sum308251
Variance0.2832209746
MonotonicityNot monotonic
2024-11-14T14:13:58.037241image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 287644
48.7%
0 216752
36.7%
2 9661
 
1.6%
3 371
 
0.1%
4 26
 
< 0.1%
5 10
 
< 0.1%
6 3
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 216752
36.7%
1 287644
48.7%
2 9661
 
1.6%
3 371
 
0.1%
4 26
 
< 0.1%
ValueCountFrequency (%)
6 3
 
< 0.1%
5 10
 
< 0.1%
4 26
 
< 0.1%
3 371
 
0.1%
2 9661
1.6%

V14
Real number (ℝ)

MISSING  SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.9995004539
Minimum0
Maximum1
Zeros257
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:58.497251image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02234496714
Coefficient of variation (CV)0.02235613506
Kurtosis1996.837039
Mean0.9995004539
Median Absolute Deviation (MAD)0
Skewness-44.70826854
Sum514210
Variance0.0004992975564
MonotonicityNot monotonic
2024-11-14T14:13:58.626246image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 514210
87.1%
0 257
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 257
 
< 0.1%
1 514210
87.1%
ValueCountFrequency (%)
1 514210
87.1%
0 257
 
< 0.1%

V15
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.1223421522
Minimum0
Maximum7
Zeros452075
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:58.753252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.332421746
Coefficient of variation (CV)2.717148097
Kurtosis8.459790954
Mean0.1223421522
Median Absolute Deviation (MAD)0
Skewness2.587066946
Sum62941
Variance0.1105042172
MonotonicityNot monotonic
2024-11-14T14:13:58.907232image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 452075
76.6%
1 61974
 
10.5%
2 346
 
0.1%
3 48
 
< 0.1%
4 10
 
< 0.1%
7 10
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 452075
76.6%
1 61974
 
10.5%
2 346
 
0.1%
3 48
 
< 0.1%
4 10
 
< 0.1%
ValueCountFrequency (%)
7 10
 
< 0.1%
6 1
 
< 0.1%
5 3
 
< 0.1%
4 10
 
< 0.1%
3 48
< 0.1%

V16
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.1234598137
Minimum0
Maximum15
Zeros452052
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:59.074541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3428410507
Coefficient of variation (CV)2.7769445
Kurtosis54.53915894
Mean0.1234598137
Median Absolute Deviation (MAD)0
Skewness3.833220252
Sum63516
Variance0.1175399861
MonotonicityNot monotonic
2024-11-14T14:13:59.198656image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 452052
76.5%
1 61749
 
10.5%
2 481
 
0.1%
3 101
 
< 0.1%
4 42
 
< 0.1%
5 12
 
< 0.1%
6 7
 
< 0.1%
7 5
 
< 0.1%
8 4
 
< 0.1%
9 3
 
< 0.1%
Other values (5) 11
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 452052
76.5%
1 61749
 
10.5%
2 481
 
0.1%
3 101
 
< 0.1%
4 42
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
14 3
< 0.1%
13 3
< 0.1%
11 2
< 0.1%
10 2
< 0.1%

V17
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.1340396955
Minimum0
Maximum15
Zeros447823
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:59.322661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3644564701
Coefficient of variation (CV)2.719018936
Kurtosis41.82169543
Mean0.1340396955
Median Absolute Deviation (MAD)0
Skewness3.794087266
Sum68959
Variance0.1328285186
MonotonicityNot monotonic
2024-11-14T14:13:59.470660image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 447823
75.8%
1 65244
 
11.0%
2 927
 
0.2%
3 274
 
< 0.1%
4 104
 
< 0.1%
5 40
 
< 0.1%
6 21
 
< 0.1%
7 12
 
< 0.1%
8 8
 
< 0.1%
9 6
 
< 0.1%
Other values (6) 8
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 447823
75.8%
1 65244
 
11.0%
2 927
 
0.2%
3 274
 
< 0.1%
4 104
 
< 0.1%
ValueCountFrequency (%)
15 1
< 0.1%
14 1
< 0.1%
13 1
< 0.1%
12 1
< 0.1%
11 1
< 0.1%

V18
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.1353633955
Minimum0
Maximum15
Zeros447792
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:59.633673image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3717633034
Coefficient of variation (CV)2.746409411
Kurtosis44.38477239
Mean0.1353633955
Median Absolute Deviation (MAD)0
Skewness4.007779898
Sum69640
Variance0.1382079538
MonotonicityNot monotonic
2024-11-14T14:13:59.790660image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 447792
75.8%
1 64889
 
11.0%
2 1155
 
0.2%
3 388
 
0.1%
4 120
 
< 0.1%
5 48
 
< 0.1%
6 32
 
< 0.1%
7 16
 
< 0.1%
8 13
 
< 0.1%
9 6
 
< 0.1%
Other values (6) 8
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 447792
75.8%
1 64889
 
11.0%
2 1155
 
0.2%
3 388
 
0.1%
4 120
 
< 0.1%
ValueCountFrequency (%)
15 1
< 0.1%
14 1
< 0.1%
13 1
< 0.1%
12 1
< 0.1%
11 1
< 0.1%

V19
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.8163711181
Minimum0
Maximum7
Zeros101871
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:13:59.972663image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4255118725
Coefficient of variation (CV)0.5212235748
Kurtosis2.081307694
Mean0.8163711181
Median Absolute Deviation (MAD)0
Skewness-0.8776542343
Sum419996
Variance0.1810603536
MonotonicityNot monotonic
2024-11-14T14:14:00.111653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 405665
68.7%
0 101871
 
17.3%
2 6540
 
1.1%
3 348
 
0.1%
4 29
 
< 0.1%
7 10
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 101871
 
17.3%
1 405665
68.7%
2 6540
 
1.1%
3 348
 
0.1%
4 29
 
< 0.1%
ValueCountFrequency (%)
7 10
 
< 0.1%
6 1
 
< 0.1%
5 3
 
< 0.1%
4 29
 
< 0.1%
3 348
0.1%

V20
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.8478425244
Minimum0
Maximum15
Zeros96318
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:00.273664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4594505741
Coefficient of variation (CV)0.5419055554
Kurtosis15.44341218
Mean0.8478425244
Median Absolute Deviation (MAD)0
Skewness0.2512742666
Sum436187
Variance0.21109483
MonotonicityNot monotonic
2024-11-14T14:14:00.456667image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 401929
68.1%
0 96318
 
16.3%
2 14902
 
2.5%
3 1070
 
0.2%
4 161
 
< 0.1%
5 30
 
< 0.1%
6 27
 
< 0.1%
8 11
 
< 0.1%
7 5
 
< 0.1%
9 3
 
< 0.1%
Other values (5) 11
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 96318
 
16.3%
1 401929
68.1%
2 14902
 
2.5%
3 1070
 
0.2%
4 161
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
14 3
< 0.1%
13 3
< 0.1%
11 2
< 0.1%
10 2
< 0.1%

V21
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.1296837309
Minimum0
Maximum5
Zeros448220
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:00.624657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3390596656
Coefficient of variation (CV)2.61451196
Kurtosis3.938821105
Mean0.1296837309
Median Absolute Deviation (MAD)0
Skewness2.30796219
Sum66718
Variance0.1149614568
MonotonicityNot monotonic
2024-11-14T14:14:00.822659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 448220
75.9%
1 65837
 
11.1%
2 354
 
0.1%
3 53
 
< 0.1%
5 2
 
< 0.1%
4 1
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 448220
75.9%
1 65837
 
11.1%
2 354
 
0.1%
3 53
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 1
 
< 0.1%
3 53
 
< 0.1%
2 354
 
0.1%
1 65837
11.1%

V22
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.1322922559
Minimum0
Maximum8
Zeros448185
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:01.066659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3594147633
Coefficient of variation (CV)2.716823906
Kurtosis31.65726687
Mean0.1322922559
Median Absolute Deviation (MAD)0
Skewness3.633982015
Sum68060
Variance0.1291789721
MonotonicityNot monotonic
2024-11-14T14:14:01.295127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 448185
75.9%
1 65334
 
11.1%
2 604
 
0.1%
3 169
 
< 0.1%
7 94
 
< 0.1%
4 63
 
< 0.1%
5 9
 
< 0.1%
6 8
 
< 0.1%
8 1
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 448185
75.9%
1 65334
 
11.1%
2 604
 
0.1%
3 169
 
< 0.1%
4 63
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 94
< 0.1%
6 8
 
< 0.1%
5 9
 
< 0.1%
4 63
< 0.1%

V23
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean1.034791347
Minimum0
Maximum13
Zeros588
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:01.455071image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2476806128
Coefficient of variation (CV)0.2393531928
Kurtosis262.6731615
Mean1.034791347
Median Absolute Deviation (MAD)0
Skewness12.11657183
Sum532366
Variance0.06134568597
MonotonicityNot monotonic
2024-11-14T14:14:01.611063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 498764
84.5%
2 13197
 
2.2%
3 1244
 
0.2%
0 588
 
0.1%
4 337
 
0.1%
5 144
 
< 0.1%
6 83
 
< 0.1%
7 39
 
< 0.1%
8 32
 
< 0.1%
9 20
 
< 0.1%
Other values (4) 19
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 588
 
0.1%
1 498764
84.5%
2 13197
 
2.2%
3 1244
 
0.2%
4 337
 
0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
12 2
 
< 0.1%
11 4
 
< 0.1%
10 12
< 0.1%
9 20
< 0.1%

V24
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean1.058097021
Minimum0
Maximum13
Zeros578
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:01.789068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3054850404
Coefficient of variation (CV)0.288711748
Kurtosis154.1029362
Mean1.058097021
Median Absolute Deviation (MAD)0
Skewness9.086477096
Sum544356
Variance0.09332110994
MonotonicityNot monotonic
2024-11-14T14:14:02.001062image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 488478
82.7%
2 22289
 
3.8%
3 2241
 
0.4%
0 578
 
0.1%
4 431
 
0.1%
5 195
 
< 0.1%
6 98
 
< 0.1%
7 64
 
< 0.1%
8 40
 
< 0.1%
9 25
 
< 0.1%
Other values (4) 28
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 578
 
0.1%
1 488478
82.7%
2 22289
 
3.8%
3 2241
 
0.4%
4 431
 
0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
12 3
 
< 0.1%
11 8
 
< 0.1%
10 16
< 0.1%
9 25
< 0.1%

V25
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.9776603747
Minimum0
Maximum7
Zeros14465
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:02.164069image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1852449193
Coefficient of variation (CV)0.1894777819
Kurtosis32.72757993
Mean0.9776603747
Median Absolute Deviation (MAD)0
Skewness-2.648066055
Sum502974
Variance0.03431568012
MonotonicityNot monotonic
2024-11-14T14:14:02.346065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 497241
84.2%
0 14465
 
2.4%
2 2569
 
0.4%
3 177
 
< 0.1%
4 13
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 14465
 
2.4%
1 497241
84.2%
2 2569
 
0.4%
3 177
 
< 0.1%
4 13
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
5 1
 
< 0.1%
4 13
 
< 0.1%
3 177
 
< 0.1%
2 2569
0.4%

V26
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.9880400492
Minimum0
Maximum13
Zeros13068
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:02.515070image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2093021394
Coefficient of variation (CV)0.2118356838
Kurtosis153.4539562
Mean0.9880400492
Median Absolute Deviation (MAD)0
Skewness2.686924707
Sum508314
Variance0.04380738557
MonotonicityNot monotonic
2024-11-14T14:14:02.723068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 495119
83.8%
0 13068
 
2.2%
2 5906
 
1.0%
3 271
 
< 0.1%
4 50
 
< 0.1%
5 17
 
< 0.1%
8 13
 
< 0.1%
6 8
 
< 0.1%
7 7
 
< 0.1%
9 3
 
< 0.1%
Other values (3) 5
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 13068
 
2.2%
1 495119
83.8%
2 5906
 
1.0%
3 271
 
< 0.1%
4 50
 
< 0.1%
ValueCountFrequency (%)
13 2
 
< 0.1%
11 1
 
< 0.1%
10 2
 
< 0.1%
9 3
 
< 0.1%
8 13
< 0.1%

V27
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.0007755599485
Minimum0
Maximum4
Zeros514076
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:02.915071image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02859585195
Coefficient of variation (CV)36.87123349
Kurtosis2088.49909
Mean0.0007755599485
Median Absolute Deviation (MAD)0
Skewness40.56713659
Sum399
Variance0.0008177227486
MonotonicityNot monotonic
2024-11-14T14:14:03.063073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 514076
87.1%
1 385
 
0.1%
2 5
 
< 0.1%
4 1
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 514076
87.1%
1 385
 
0.1%
2 5
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
2 5
 
< 0.1%
1 385
 
0.1%
0 514076
87.1%

V28
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.000829985208
Minimum0
Maximum4
Zeros514073
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:03.219066image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03113276223
Coefficient of variation (CV)37.51002057
Kurtosis2266.343929
Mean0.000829985208
Median Absolute Deviation (MAD)0
Skewness42.88530517
Sum427
Variance0.0009692488839
MonotonicityNot monotonic
2024-11-14T14:14:03.431064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 514073
87.1%
1 363
 
0.1%
2 30
 
< 0.1%
4 1
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 514073
87.1%
1 363
 
0.1%
2 30
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
2 30
 
< 0.1%
1 363
 
0.1%
0 514073
87.1%

V29
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.3878402308
Minimum0
Maximum5
Zeros320407
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:03.618512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5106517814
Coefficient of variation (CV)1.316655006
Kurtosis-0.3771061167
Mean0.3878402308
Median Absolute Deviation (MAD)0
Skewness0.7743771205
Sum199531
Variance0.2607652419
MonotonicityNot monotonic
2024-11-14T14:14:03.774515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 320407
54.3%
1 189060
32.0%
2 4590
 
0.8%
3 351
 
0.1%
4 57
 
< 0.1%
5 2
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 320407
54.3%
1 189060
32.0%
2 4590
 
0.8%
3 351
 
0.1%
4 57
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 57
 
< 0.1%
3 351
 
0.1%
2 4590
 
0.8%
1 189060
32.0%

V30
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.4064361757
Minimum0
Maximum9
Zeros319017
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:03.895520image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5543107074
Coefficient of variation (CV)1.363832111
Kurtosis3.531327907
Mean0.4064361757
Median Absolute Deviation (MAD)0
Skewness1.282833044
Sum209098
Variance0.3072603603
MonotonicityNot monotonic
2024-11-14T14:14:04.010517image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 319017
54.0%
1 184133
31.2%
2 9685
 
1.6%
3 1160
 
0.2%
4 279
 
< 0.1%
5 180
 
< 0.1%
9 7
 
< 0.1%
6 6
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 319017
54.0%
1 184133
31.2%
2 9685
 
1.6%
3 1160
 
0.2%
4 279
 
< 0.1%
ValueCountFrequency (%)
9 7
 
< 0.1%
6 6
 
< 0.1%
5 180
 
< 0.1%
4 279
 
< 0.1%
3 1160
0.2%

V31
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.140761215
Minimum0
Maximum7
Zeros443045
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:04.122512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3557928201
Coefficient of variation (CV)2.527633909
Kurtosis7.796906131
Mean0.140761215
Median Absolute Deviation (MAD)0
Skewness2.438413986
Sum72417
Variance0.1265885308
MonotonicityNot monotonic
2024-11-14T14:14:04.281518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 443045
75.0%
1 70729
 
12.0%
2 477
 
0.1%
3 167
 
< 0.1%
4 33
 
< 0.1%
7 10
 
< 0.1%
5 5
 
< 0.1%
6 1
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 443045
75.0%
1 70729
 
12.0%
2 477
 
0.1%
3 167
 
< 0.1%
4 33
 
< 0.1%
ValueCountFrequency (%)
7 10
 
< 0.1%
6 1
 
< 0.1%
5 5
 
< 0.1%
4 33
 
< 0.1%
3 167
< 0.1%

V32
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.1424172979
Minimum0
Maximum15
Zeros443018
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:04.431522image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3682776828
Coefficient of variation (CV)2.585905562
Kurtosis43.56781418
Mean0.1424172979
Median Absolute Deviation (MAD)0
Skewness3.530884516
Sum73269
Variance0.1356284516
MonotonicityNot monotonic
2024-11-14T14:14:04.563923image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 443018
75.0%
1 70307
 
11.9%
2 790
 
0.1%
3 226
 
< 0.1%
4 51
 
< 0.1%
5 44
 
< 0.1%
6 8
 
< 0.1%
7 5
 
< 0.1%
8 4
 
< 0.1%
9 3
 
< 0.1%
Other values (5) 11
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 443018
75.0%
1 70307
 
11.9%
2 790
 
0.1%
3 226
 
< 0.1%
4 51
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
14 3
< 0.1%
13 3
< 0.1%
11 2
< 0.1%
10 2
< 0.1%

V33
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.130692542
Minimum0
Maximum7
Zeros447769
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:04.688936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3409002453
Coefficient of variation (CV)2.608413916
Kurtosis4.551107252
Mean0.130692542
Median Absolute Deviation (MAD)0
Skewness2.337368641
Sum67237
Variance0.1162129773
MonotonicityNot monotonic
2024-11-14T14:14:04.803637image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 447769
75.8%
1 66267
 
11.2%
2 338
 
0.1%
3 82
 
< 0.1%
4 9
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 447769
75.8%
1 66267
 
11.2%
2 338
 
0.1%
3 82
 
< 0.1%
4 9
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
5 1
 
< 0.1%
4 9
 
< 0.1%
3 82
 
< 0.1%
2 338
0.1%

V34
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing76073
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.1391537261
Minimum0
Maximum13
Zeros443989
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:04.948010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3575489701
Coefficient of variation (CV)2.56945308
Kurtosis23.44327231
Mean0.1391537261
Median Absolute Deviation (MAD)0
Skewness2.952187091
Sum71590
Variance0.127841266
MonotonicityNot monotonic
2024-11-14T14:14:05.107011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 443989
75.2%
1 69776
 
11.8%
2 496
 
0.1%
3 129
 
< 0.1%
4 34
 
< 0.1%
5 14
 
< 0.1%
6 8
 
< 0.1%
7 7
 
< 0.1%
8 6
 
< 0.1%
9 3
 
< 0.1%
Other values (3) 5
 
< 0.1%
(Missing) 76073
 
12.9%
ValueCountFrequency (%)
0 443989
75.2%
1 69776
 
11.8%
2 496
 
0.1%
3 129
 
< 0.1%
4 34
 
< 0.1%
ValueCountFrequency (%)
13 2
 
< 0.1%
11 1
 
< 0.1%
10 2
 
< 0.1%
9 3
< 0.1%
8 6
< 0.1%

V35
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.5425942487
Minimum0
Maximum3
Zeros196551
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:05.238006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5160100317
Coefficient of variation (CV)0.951005347
Kurtosis-1.46222707
Mean0.5425942487
Median Absolute Deviation (MAD)0
Skewness0.03590954845
Sum228742
Variance0.2662663529
MonotonicityNot monotonic
2024-11-14T14:14:05.370354image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 221387
37.5%
0 196551
33.3%
2 3544
 
0.6%
3 89
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 196551
33.3%
1 221387
37.5%
2 3544
 
0.6%
3 89
 
< 0.1%
ValueCountFrequency (%)
3 89
 
< 0.1%
2 3544
 
0.6%
1 221387
37.5%
0 196551
33.3%

V36
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.5791978101
Minimum0
Maximum5
Zeros186733
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:05.548353image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5390387159
Coefficient of variation (CV)0.9306642851
Kurtosis-0.7217491356
Mean0.5791978101
Median Absolute Deviation (MAD)0
Skewness0.1814390109
Sum244173
Variance0.2905627372
MonotonicityNot monotonic
2024-11-14T14:14:05.735255image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 226024
38.3%
0 186733
31.6%
2 8307
 
1.4%
3 495
 
0.1%
4 10
 
< 0.1%
5 2
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 186733
31.6%
1 226024
38.3%
2 8307
 
1.4%
3 495
 
0.1%
4 10
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 10
 
< 0.1%
3 495
 
0.1%
2 8307
 
1.4%
1 226024
38.3%

V37
Real number (ℝ)

MISSING  SKEWED 

Distinct55
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean1.108064834
Minimum0
Maximum54
Zeros325
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:05.936537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum54
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6905711498
Coefficient of variation (CV)0.6232226931
Kurtosis1040.81738
Mean1.108064834
Median Absolute Deviation (MAD)0
Skewness22.63035956
Sum467128
Variance0.4768885129
MonotonicityNot monotonic
2024-11-14T14:14:06.084541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 395228
66.9%
2 18453
 
3.1%
3 3801
 
0.6%
4 1474
 
0.2%
5 796
 
0.1%
6 420
 
0.1%
7 327
 
0.1%
0 325
 
0.1%
8 193
 
< 0.1%
9 168
 
< 0.1%
Other values (45) 386
 
0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 325
 
0.1%
1 395228
66.9%
2 18453
 
3.1%
3 3801
 
0.6%
4 1474
 
0.2%
ValueCountFrequency (%)
54 1
< 0.1%
53 1
< 0.1%
52 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%

V38
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean1.162399691
Minimum0
Maximum54
Zeros325
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:06.241538image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum54
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8589201031
Coefficient of variation (CV)0.7389197623
Kurtosis625.8419133
Mean1.162399691
Median Absolute Deviation (MAD)0
Skewness18.35915957
Sum490034
Variance0.7377437436
MonotonicityNot monotonic
2024-11-14T14:14:06.401554image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 382093
64.7%
2 28073
 
4.8%
3 5616
 
1.0%
4 2208
 
0.4%
5 1129
 
0.2%
6 615
 
0.1%
7 426
 
0.1%
0 325
 
0.1%
8 263
 
< 0.1%
9 164
 
< 0.1%
Other values (45) 659
 
0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 325
 
0.1%
1 382093
64.7%
2 28073
 
4.8%
3 5616
 
1.0%
4 2208
 
0.4%
ValueCountFrequency (%)
54 1
< 0.1%
53 1
< 0.1%
52 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%

V39
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.1660764142
Minimum0
Maximum15
Zeros357994
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:06.578538image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4519555336
Coefficient of variation (CV)2.721370978
Kurtosis92.66185789
Mean0.1660764142
Median Absolute Deviation (MAD)0
Skewness5.951601213
Sum70013
Variance0.2042638044
MonotonicityNot monotonic
2024-11-14T14:14:06.734538image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 357994
60.6%
1 59921
 
10.1%
2 2497
 
0.4%
3 566
 
0.1%
4 253
 
< 0.1%
5 108
 
< 0.1%
6 82
 
< 0.1%
7 48
 
< 0.1%
8 37
 
< 0.1%
9 18
 
< 0.1%
Other values (6) 47
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 357994
60.6%
1 59921
 
10.1%
2 2497
 
0.4%
3 566
 
0.1%
4 253
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
14 15
< 0.1%
13 3
 
< 0.1%
12 4
 
< 0.1%
11 10
< 0.1%

V40
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.1771445379
Minimum0
Maximum24
Zeros357837
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:06.882541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5057864826
Coefficient of variation (CV)2.855219181
Kurtosis106.5484261
Mean0.1771445379
Median Absolute Deviation (MAD)0
Skewness6.645349401
Sum74679
Variance0.255819966
MonotonicityNot monotonic
2024-11-14T14:14:07.030535image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 357837
60.6%
1 57473
 
9.7%
2 4230
 
0.7%
3 1046
 
0.2%
4 400
 
0.1%
5 209
 
< 0.1%
6 145
 
< 0.1%
7 78
 
< 0.1%
8 50
 
< 0.1%
10 29
 
< 0.1%
Other values (8) 74
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 357837
60.6%
1 57473
 
9.7%
2 4230
 
0.7%
3 1046
 
0.2%
4 400
 
0.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
23 1
 
< 0.1%
15 1
 
< 0.1%
14 16
< 0.1%
13 3
 
< 0.1%

V41
Real number (ℝ)

MISSING  SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.9992693995
Minimum0
Maximum1
Zeros308
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:07.157541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02701977968
Coefficient of variation (CV)0.02703953478
Kurtosis1363.753933
Mean0.9992693995
Median Absolute Deviation (MAD)0
Skewness-36.95602066
Sum421263
Variance0.000730068494
MonotonicityNot monotonic
2024-11-14T14:14:07.269543image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 421263
71.3%
0 308
 
0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 308
 
0.1%
1 421263
71.3%
ValueCountFrequency (%)
1 421263
71.3%
0 308
 
0.1%

V42
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.1561184237
Minimum0
Maximum8
Zeros358439
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:07.409537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3828958873
Coefficient of variation (CV)2.452598983
Kurtosis7.294465221
Mean0.1561184237
Median Absolute Deviation (MAD)0
Skewness2.441126838
Sum65815
Variance0.1466092605
MonotonicityNot monotonic
2024-11-14T14:14:07.568534image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 358439
60.7%
1 60801
 
10.3%
2 2037
 
0.3%
3 256
 
< 0.1%
4 30
 
< 0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 358439
60.7%
1 60801
 
10.3%
2 2037
 
0.3%
3 256
 
< 0.1%
4 30
 
< 0.1%
ValueCountFrequency (%)
8 2
 
< 0.1%
7 2
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
4 30
< 0.1%

V43
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.1689418864
Minimum0
Maximum8
Zeros358261
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:07.724532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4333588201
Coefficient of variation (CV)2.56513544
Kurtosis14.10784406
Mean0.1689418864
Median Absolute Deviation (MAD)0
Skewness3.09411109
Sum71221
Variance0.1877998669
MonotonicityNot monotonic
2024-11-14T14:14:07.853558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 358261
60.7%
1 56929
 
9.6%
2 5234
 
0.9%
3 885
 
0.1%
4 174
 
< 0.1%
5 66
 
< 0.1%
6 13
 
< 0.1%
7 7
 
< 0.1%
8 2
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 358261
60.7%
1 56929
 
9.6%
2 5234
 
0.9%
3 885
 
0.1%
4 174
 
< 0.1%
ValueCountFrequency (%)
8 2
 
< 0.1%
7 7
 
< 0.1%
6 13
 
< 0.1%
5 66
 
< 0.1%
4 174
< 0.1%

V44
Real number (ℝ)

MISSING  SKEWED 

Distinct49
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean1.08389097
Minimum0
Maximum48
Zeros441
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:08.066119image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6391433262
Coefficient of variation (CV)0.5896749249
Kurtosis1342.660151
Mean1.08389097
Median Absolute Deviation (MAD)0
Skewness29.03948364
Sum456937
Variance0.4085041914
MonotonicityNot monotonic
2024-11-14T14:14:08.239109image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 397653
67.3%
2 19434
 
3.3%
3 2242
 
0.4%
4 615
 
0.1%
0 441
 
0.1%
5 319
 
0.1%
6 208
 
< 0.1%
7 138
 
< 0.1%
9 102
 
< 0.1%
8 83
 
< 0.1%
Other values (39) 336
 
0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 441
 
0.1%
1 397653
67.3%
2 19434
 
3.3%
3 2242
 
0.4%
4 615
 
0.1%
ValueCountFrequency (%)
48 1
< 0.1%
47 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%
44 2
< 0.1%

V45
Real number (ℝ)

MISSING  SKEWED 

Distinct49
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean1.120779181
Minimum0
Maximum48
Zeros412
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:08.439105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7297735338
Coefficient of variation (CV)0.6511305227
Kurtosis886.270751
Mean1.120779181
Median Absolute Deviation (MAD)0
Skewness23.21863153
Sum472488
Variance0.5325694107
MonotonicityNot monotonic
2024-11-14T14:14:08.631319image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 387027
65.5%
2 28125
 
4.8%
3 3472
 
0.6%
4 906
 
0.2%
5 438
 
0.1%
0 412
 
0.1%
6 253
 
< 0.1%
7 214
 
< 0.1%
9 143
 
< 0.1%
8 132
 
< 0.1%
Other values (39) 449
 
0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 412
 
0.1%
1 387027
65.5%
2 28125
 
4.8%
3 3472
 
0.6%
4 906
 
0.2%
ValueCountFrequency (%)
48 1
< 0.1%
47 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%
44 2
< 0.1%

V46
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean1.022285689
Minimum0
Maximum6
Zeros348
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:08.760315image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16671895
Coefficient of variation (CV)0.1630844996
Kurtosis84.59309951
Mean1.022285689
Median Absolute Deviation (MAD)0
Skewness7.762789546
Sum430966
Variance0.02779520828
MonotonicityNot monotonic
2024-11-14T14:14:08.879314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 412247
69.8%
2 8340
 
1.4%
3 521
 
0.1%
0 348
 
0.1%
4 103
 
< 0.1%
5 8
 
< 0.1%
6 4
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 348
 
0.1%
1 412247
69.8%
2 8340
 
1.4%
3 521
 
0.1%
4 103
 
< 0.1%
ValueCountFrequency (%)
6 4
 
< 0.1%
5 8
 
< 0.1%
4 103
 
< 0.1%
3 521
 
0.1%
2 8340
1.4%

V47
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean1.038515458
Minimum0
Maximum12
Zeros347
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:09.045368image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.231862137
Coefficient of variation (CV)0.2232630581
Kurtosis243.0650159
Mean1.038515458
Median Absolute Deviation (MAD)0
Skewness10.04188522
Sum437808
Variance0.05376005056
MonotonicityNot monotonic
2024-11-14T14:14:09.186369image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 406519
68.8%
2 13389
 
2.3%
3 1018
 
0.2%
0 347
 
0.1%
4 189
 
< 0.1%
6 49
 
< 0.1%
5 44
 
< 0.1%
12 15
 
< 0.1%
7 1
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 347
 
0.1%
1 406519
68.8%
2 13389
 
2.3%
3 1018
 
0.2%
4 189
 
< 0.1%
ValueCountFrequency (%)
12 15
 
< 0.1%
7 1
 
< 0.1%
6 49
 
< 0.1%
5 44
 
< 0.1%
4 189
< 0.1%

V48
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.38317389
Minimum0
Maximum5
Zeros264325
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:09.648337image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5081889967
Coefficient of variation (CV)1.32626207
Kurtosis-0.540309547
Mean0.38317389
Median Absolute Deviation (MAD)0
Skewness0.7673572954
Sum161535
Variance0.2582560563
MonotonicityNot monotonic
2024-11-14T14:14:09.793335image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 264325
44.8%
1 153267
26.0%
2 3685
 
0.6%
3 280
 
< 0.1%
4 12
 
< 0.1%
5 2
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 264325
44.8%
1 153267
26.0%
2 3685
 
0.6%
3 280
 
< 0.1%
4 12
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 12
 
< 0.1%
3 280
 
< 0.1%
2 3685
 
0.6%
1 153267
26.0%

V49
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.3977242268
Minimum0
Maximum5
Zeros263761
Zeros (%)44.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:09.919337image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5426536518
Coefficient of variation (CV)1.364396774
Kurtosis1.774205783
Mean0.3977242268
Median Absolute Deviation (MAD)0
Skewness1.125398456
Sum167669
Variance0.2944729858
MonotonicityNot monotonic
2024-11-14T14:14:10.039709image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 263761
44.7%
1 149250
25.3%
2 7604
 
1.3%
3 691
 
0.1%
4 187
 
< 0.1%
5 78
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 263761
44.7%
1 149250
25.3%
2 7604
 
1.3%
3 691
 
0.1%
4 187
 
< 0.1%
ValueCountFrequency (%)
5 78
 
< 0.1%
4 187
 
< 0.1%
3 691
 
0.1%
2 7604
 
1.3%
1 149250
25.3%

V50
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.1647456775
Minimum0
Maximum5
Zeros352482
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:10.198607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3739954267
Coefficient of variation (CV)2.270138024
Kurtosis2.370133037
Mean0.1647456775
Median Absolute Deviation (MAD)0
Skewness1.911027287
Sum69452
Variance0.1398725792
MonotonicityNot monotonic
2024-11-14T14:14:10.352558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 352482
59.7%
1 68817
 
11.7%
2 202
 
< 0.1%
3 52
 
< 0.1%
4 15
 
< 0.1%
5 3
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 352482
59.7%
1 68817
 
11.7%
2 202
 
< 0.1%
3 52
 
< 0.1%
4 15
 
< 0.1%
ValueCountFrequency (%)
5 3
 
< 0.1%
4 15
 
< 0.1%
3 52
 
< 0.1%
2 202
 
< 0.1%
1 68817
11.7%

V51
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.1705786214
Minimum0
Maximum6
Zeros353522
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:10.486559image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4038988556
Coefficient of variation (CV)2.36781639
Kurtosis6.975821559
Mean0.1705786214
Median Absolute Deviation (MAD)0
Skewness2.413839141
Sum71911
Variance0.1631342855
MonotonicityNot monotonic
2024-11-14T14:14:10.667563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 353522
59.9%
1 64775
 
11.0%
2 2780
 
0.5%
3 416
 
0.1%
4 66
 
< 0.1%
5 8
 
< 0.1%
6 4
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 353522
59.9%
1 64775
 
11.0%
2 2780
 
0.5%
3 416
 
0.1%
4 66
 
< 0.1%
ValueCountFrequency (%)
6 4
 
< 0.1%
5 8
 
< 0.1%
4 66
 
< 0.1%
3 416
 
0.1%
2 2780
0.5%

V52
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing168969
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.1826952044
Minimum0
Maximum12
Zeros351237
Zeros (%)59.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:10.887562image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4390016375
Coefficient of variation (CV)2.402918232
Kurtosis28.55706141
Mean0.1826952044
Median Absolute Deviation (MAD)0
Skewness3.298754443
Sum77019
Variance0.1927224377
MonotonicityNot monotonic
2024-11-14T14:14:11.141560image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 351237
59.5%
1 65030
 
11.0%
2 4362
 
0.7%
3 705
 
0.1%
4 161
 
< 0.1%
5 41
 
< 0.1%
6 19
 
< 0.1%
12 15
 
< 0.1%
7 1
 
< 0.1%
(Missing) 168969
28.6%
ValueCountFrequency (%)
0 351237
59.5%
1 65030
 
11.0%
2 4362
 
0.7%
3 705
 
0.1%
4 161
 
< 0.1%
ValueCountFrequency (%)
12 15
 
< 0.1%
7 1
 
< 0.1%
6 19
 
< 0.1%
5 41
 
< 0.1%
4 161
< 0.1%

V53
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.5775858711
Minimum0
Maximum5
Zeros221227
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:11.273554image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5115705173
Coefficient of variation (CV)0.8857046941
Kurtosis-1.324362815
Mean0.5775858711
Median Absolute Deviation (MAD)0
Skewness-0.0935487305
Sum296558
Variance0.2617043941
MonotonicityNot monotonic
2024-11-14T14:14:11.429563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 288055
48.8%
0 221227
37.5%
2 4006
 
0.7%
3 140
 
< 0.1%
4 9
 
< 0.1%
5 7
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 221227
37.5%
1 288055
48.8%
2 4006
 
0.7%
3 140
 
< 0.1%
4 9
 
< 0.1%
ValueCountFrequency (%)
5 7
 
< 0.1%
4 9
 
< 0.1%
3 140
 
< 0.1%
2 4006
 
0.7%
1 288055
48.8%

V54
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.619981926
Minimum0
Maximum6
Zeros207068
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:11.556562image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5346347587
Coefficient of variation (CV)0.8623392655
Kurtosis-0.3403811736
Mean0.619981926
Median Absolute Deviation (MAD)0
Skewness0.08941417334
Sum318326
Variance0.2858343252
MonotonicityNot monotonic
2024-11-14T14:14:11.675567image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 295235
50.0%
0 207068
35.1%
2 10445
 
1.8%
3 603
 
0.1%
4 76
 
< 0.1%
5 14
 
< 0.1%
6 3
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 207068
35.1%
1 295235
50.0%
2 10445
 
1.8%
3 603
 
0.1%
4 76
 
< 0.1%
ValueCountFrequency (%)
6 3
 
< 0.1%
5 14
 
< 0.1%
4 76
 
< 0.1%
3 603
 
0.1%
2 10445
1.8%

V55
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean1.067670476
Minimum0
Maximum17
Zeros180
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:11.806484image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3913637299
Coefficient of variation (CV)0.366558539
Kurtosis169.7514439
Mean1.067670476
Median Absolute Deviation (MAD)0
Skewness10.42162298
Sum548189
Variance0.1531655691
MonotonicityNot monotonic
2024-11-14T14:14:11.960479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 489239
82.8%
2 18464
 
3.1%
3 3100
 
0.5%
4 1233
 
0.2%
5 530
 
0.1%
6 300
 
0.1%
0 180
 
< 0.1%
7 144
 
< 0.1%
8 124
 
< 0.1%
9 59
 
< 0.1%
Other values (8) 71
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 180
 
< 0.1%
1 489239
82.8%
2 18464
 
3.1%
3 3100
 
0.5%
4 1233
 
0.2%
ValueCountFrequency (%)
17 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 4
< 0.1%
13 7
< 0.1%

V56
Real number (ℝ)

MISSING  SKEWED 

Distinct52
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean1.120979114
Minimum0
Maximum51
Zeros180
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:12.123398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6611285026
Coefficient of variation (CV)0.5897777171
Kurtosis1118.094594
Mean1.120979114
Median Absolute Deviation (MAD)0
Skewness23.55671083
Sum575560
Variance0.4370908969
MonotonicityNot monotonic
2024-11-14T14:14:12.345395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 472700
80.0%
2 30886
 
5.2%
3 5610
 
0.9%
4 1881
 
0.3%
5 952
 
0.2%
6 355
 
0.1%
7 246
 
< 0.1%
0 180
 
< 0.1%
8 169
 
< 0.1%
9 157
 
< 0.1%
Other values (42) 308
 
0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 180
 
< 0.1%
1 472700
80.0%
2 30886
 
5.2%
3 5610
 
0.9%
4 1881
 
0.3%
ValueCountFrequency (%)
51 2
< 0.1%
50 1
< 0.1%
49 1
< 0.1%
48 1
< 0.1%
47 1
< 0.1%

V57
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1283119483
Minimum0
Maximum6
Zeros449807
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:12.486253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3490943267
Coefficient of variation (CV)2.720668895
Kurtosis7.684615398
Mean0.1283119483
Median Absolute Deviation (MAD)0
Skewness2.677624966
Sum65881
Variance0.121866849
MonotonicityNot monotonic
2024-11-14T14:14:12.606425image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 449807
76.2%
1 61670
 
10.4%
2 1731
 
0.3%
3 203
 
< 0.1%
4 27
 
< 0.1%
5 4
 
< 0.1%
6 2
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 449807
76.2%
1 61670
 
10.4%
2 1731
 
0.3%
3 203
 
< 0.1%
4 27
 
< 0.1%
ValueCountFrequency (%)
6 2
 
< 0.1%
5 4
 
< 0.1%
4 27
 
< 0.1%
3 203
 
< 0.1%
2 1731
0.3%

V58
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1324526141
Minimum0
Maximum10
Zeros449600
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:12.743416image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3729072641
Coefficient of variation (CV)2.815401316
Kurtosis31.96203664
Mean0.1324526141
Median Absolute Deviation (MAD)0
Skewness3.793127951
Sum68007
Variance0.1390598276
MonotonicityNot monotonic
2024-11-14T14:14:12.878437image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 449600
76.1%
1 60662
 
10.3%
2 2675
 
0.5%
3 300
 
0.1%
4 105
 
< 0.1%
7 45
 
< 0.1%
5 31
 
< 0.1%
6 10
 
< 0.1%
10 6
 
< 0.1%
8 5
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 449600
76.1%
1 60662
 
10.3%
2 2675
 
0.5%
3 300
 
0.1%
4 105
 
< 0.1%
ValueCountFrequency (%)
10 6
 
< 0.1%
9 5
 
< 0.1%
8 5
 
< 0.1%
7 45
< 0.1%
6 10
 
< 0.1%

V59
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1344333559
Minimum0
Maximum16
Zeros448636
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:13.033422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3792912782
Coefficient of variation (CV)2.821407497
Kurtosis55.37411189
Mean0.1344333559
Median Absolute Deviation (MAD)0
Skewness4.380069395
Sum69024
Variance0.1438618737
MonotonicityNot monotonic
2024-11-14T14:14:13.200419image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 448636
76.0%
1 61876
 
10.5%
2 2264
 
0.4%
3 388
 
0.1%
4 148
 
< 0.1%
5 62
 
< 0.1%
6 29
 
< 0.1%
7 13
 
< 0.1%
8 7
 
< 0.1%
9 6
 
< 0.1%
Other values (7) 15
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 448636
76.0%
1 61876
 
10.5%
2 2264
 
0.4%
3 388
 
0.1%
4 148
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
12 5
< 0.1%

V60
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.142537453
Minimum0
Maximum16
Zeros448369
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:13.376426image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4182296037
Coefficient of variation (CV)2.934173405
Kurtosis59.10797254
Mean0.142537453
Median Absolute Deviation (MAD)0
Skewness4.992877893
Sum73185
Variance0.1749160014
MonotonicityNot monotonic
2024-11-14T14:14:13.534422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 448369
75.9%
1 59589
 
10.1%
2 4065
 
0.7%
3 854
 
0.1%
4 296
 
0.1%
5 137
 
< 0.1%
6 52
 
< 0.1%
7 24
 
< 0.1%
9 21
 
< 0.1%
8 17
 
< 0.1%
Other values (7) 20
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 448369
75.9%
1 59589
 
10.1%
2 4065
 
0.7%
3 854
 
0.1%
4 296
 
0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
12 5
< 0.1%

V61
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.8297847477
Minimum0
Maximum6
Zeros98827
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:13.694423image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4366169268
Coefficient of variation (CV)0.5261809499
Kurtosis2.721511257
Mean0.8297847477
Median Absolute Deviation (MAD)0
Skewness-0.5946745369
Sum426048
Variance0.1906343407
MonotonicityNot monotonic
2024-11-14T14:14:13.903419image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 404182
68.4%
0 98827
 
16.7%
2 9620
 
1.6%
3 702
 
0.1%
5 60
 
< 0.1%
4 49
 
< 0.1%
6 4
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 98827
 
16.7%
1 404182
68.4%
2 9620
 
1.6%
3 702
 
0.1%
4 49
 
< 0.1%
ValueCountFrequency (%)
6 4
 
< 0.1%
5 60
 
< 0.1%
4 49
 
< 0.1%
3 702
 
0.1%
2 9620
1.6%

V62
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.8675629669
Minimum0
Maximum10
Zeros93177
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:14.064416image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4838034074
Coefficient of variation (CV)0.557657975
Kurtosis11.08277745
Mean0.8675629669
Median Absolute Deviation (MAD)0
Skewness0.6064409845
Sum445445
Variance0.234065737
MonotonicityNot monotonic
2024-11-14T14:14:14.232424image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 398513
67.5%
0 93177
 
15.8%
2 19368
 
3.3%
3 1860
 
0.3%
4 287
 
< 0.1%
6 82
 
< 0.1%
5 78
 
< 0.1%
7 63
 
< 0.1%
10 6
 
< 0.1%
8 5
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 93177
 
15.8%
1 398513
67.5%
2 19368
 
3.3%
3 1860
 
0.3%
4 287
 
< 0.1%
ValueCountFrequency (%)
10 6
 
< 0.1%
9 5
 
< 0.1%
8 5
 
< 0.1%
7 63
< 0.1%
6 82
< 0.1%

V63
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1307425932
Minimum0
Maximum7
Zeros448961
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:14.409416image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3552624947
Coefficient of variation (CV)2.7172667
Kurtosis10.82546948
Mean0.1307425932
Median Absolute Deviation (MAD)0
Skewness2.828984933
Sum67129
Variance0.1262114401
MonotonicityNot monotonic
2024-11-14T14:14:14.546432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 448961
76.0%
1 62231
 
10.5%
2 1969
 
0.3%
3 221
 
< 0.1%
4 32
 
< 0.1%
5 17
 
< 0.1%
6 7
 
< 0.1%
7 6
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 448961
76.0%
1 62231
 
10.5%
2 1969
 
0.3%
3 221
 
< 0.1%
4 32
 
< 0.1%
ValueCountFrequency (%)
7 6
 
< 0.1%
6 7
 
< 0.1%
5 17
 
< 0.1%
4 32
 
< 0.1%
3 221
< 0.1%

V64
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1418246196
Minimum0
Maximum7
Zeros448662
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:14.746790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4061572739
Coefficient of variation (CV)2.863799494
Kurtosis25.31600896
Mean0.1418246196
Median Absolute Deviation (MAD)0
Skewness3.847394696
Sum72819
Variance0.1649637312
MonotonicityNot monotonic
2024-11-14T14:14:14.926993image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 448662
76.0%
1 58547
 
9.9%
2 5145
 
0.9%
3 757
 
0.1%
6 144
 
< 0.1%
4 118
 
< 0.1%
5 61
 
< 0.1%
7 10
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 448662
76.0%
1 58547
 
9.9%
2 5145
 
0.9%
3 757
 
0.1%
4 118
 
< 0.1%
ValueCountFrequency (%)
7 10
 
< 0.1%
6 144
 
< 0.1%
5 61
 
< 0.1%
4 118
 
< 0.1%
3 757
0.1%

V65
Real number (ℝ)

MISSING  SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.9996630597
Minimum0
Maximum1
Zeros173
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:15.068999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01835286014
Coefficient of variation (CV)0.01835904604
Kurtosis2962.913595
Mean0.9996630597
Median Absolute Deviation (MAD)0
Skewness-54.45091417
Sum513271
Variance0.0003368274751
MonotonicityNot monotonic
2024-11-14T14:14:15.237997image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 513271
86.9%
0 173
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 173
 
< 0.1%
1 513271
86.9%
ValueCountFrequency (%)
1 513271
86.9%
0 173
 
< 0.1%

V66
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.9810378542
Minimum0
Maximum7
Zeros16418
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:15.372994image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.216235157
Coefficient of variation (CV)0.2204146925
Kurtosis29.55146188
Mean0.9810378542
Median Absolute Deviation (MAD)0
Skewness-0.8142217888
Sum503708
Variance0.0467576431
MonotonicityNot monotonic
2024-11-14T14:14:15.534995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 490779
83.1%
0 16418
 
2.8%
2 5897
 
1.0%
3 285
 
< 0.1%
4 50
 
< 0.1%
5 11
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 16418
 
2.8%
1 490779
83.1%
2 5897
 
1.0%
3 285
 
< 0.1%
4 50
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 3
 
< 0.1%
5 11
 
< 0.1%
4 50
 
< 0.1%
3 285
< 0.1%

V67
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.9981205351
Minimum0
Maximum8
Zeros14565
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:15.699995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2459115873
Coefficient of variation (CV)0.2463746398
Kurtosis32.06732616
Mean0.9981205351
Median Absolute Deviation (MAD)0
Skewness1.325951554
Sum512479
Variance0.06047250876
MonotonicityNot monotonic
2024-11-14T14:14:15.881990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 486457
82.4%
0 14565
 
2.5%
2 11435
 
1.9%
3 844
 
0.1%
4 112
 
< 0.1%
5 21
 
< 0.1%
6 5
 
< 0.1%
7 3
 
< 0.1%
8 2
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 14565
 
2.5%
1 486457
82.4%
2 11435
 
1.9%
3 844
 
0.1%
4 112
 
< 0.1%
ValueCountFrequency (%)
8 2
 
< 0.1%
7 3
 
< 0.1%
6 5
 
< 0.1%
5 21
 
< 0.1%
4 112
< 0.1%

V68
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.0005336511869
Minimum0
Maximum2
Zeros513178
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:16.045990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02375983198
Coefficient of variation (CV)44.52315027
Kurtosis2351.795556
Mean0.0005336511869
Median Absolute Deviation (MAD)0
Skewness46.68837954
Sum274
Variance0.0005645296159
MonotonicityNot monotonic
2024-11-14T14:14:16.207993image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 513178
86.9%
1 258
 
< 0.1%
2 8
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 513178
86.9%
1 258
 
< 0.1%
2 8
 
< 0.1%
ValueCountFrequency (%)
2 8
 
< 0.1%
1 258
 
< 0.1%
0 513178
86.9%

V69
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.3902002945
Minimum0
Maximum5
Zeros319136
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:16.369003image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5136955348
Coefficient of variation (CV)1.31649192
Kurtosis-0.2596839408
Mean0.3902002945
Median Absolute Deviation (MAD)0
Skewness0.7948386562
Sum200346
Variance0.2638831025
MonotonicityNot monotonic
2024-11-14T14:14:16.492990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 319136
54.0%
1 188826
32.0%
2 4989
 
0.8%
3 432
 
0.1%
4 59
 
< 0.1%
5 2
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 319136
54.0%
1 188826
32.0%
2 4989
 
0.8%
3 432
 
0.1%
4 59
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 59
 
< 0.1%
3 432
 
0.1%
2 4989
 
0.8%
1 188826
32.0%

V70
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.4079237463
Minimum0
Maximum6
Zeros317801
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:16.633990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5544992193
Coefficient of variation (CV)1.359320766
Kurtosis2.651406441
Mean0.4079237463
Median Absolute Deviation (MAD)0
Skewness1.228818311
Sum209446
Variance0.3074693842
MonotonicityNot monotonic
2024-11-14T14:14:16.755287image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 317801
53.8%
1 184177
31.2%
2 9739
 
1.6%
3 1296
 
0.2%
4 253
 
< 0.1%
5 177
 
< 0.1%
6 1
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 317801
53.8%
1 184177
31.2%
2 9739
 
1.6%
3 1296
 
0.2%
4 253
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 177
 
< 0.1%
4 253
 
< 0.1%
3 1296
 
0.2%
2 9739
1.6%

V71
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1406385117
Minimum0
Maximum6
Zeros443821
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:16.876941image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.36430312
Coefficient of variation (CV)2.590351075
Kurtosis7.153977201
Mean0.1406385117
Median Absolute Deviation (MAD)0
Skewness2.556247136
Sum72210
Variance0.1327167632
MonotonicityNot monotonic
2024-11-14T14:14:17.022618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 443821
75.2%
1 67435
 
11.4%
2 1837
 
0.3%
3 311
 
0.1%
4 34
 
< 0.1%
5 4
 
< 0.1%
6 2
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 443821
75.2%
1 67435
 
11.4%
2 1837
 
0.3%
3 311
 
0.1%
4 34
 
< 0.1%
ValueCountFrequency (%)
6 2
 
< 0.1%
5 4
 
< 0.1%
4 34
 
< 0.1%
3 311
 
0.1%
2 1837
0.3%

V72
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1451239084
Minimum0
Maximum10
Zeros443611
Zeros (%)75.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:17.157908image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3892119142
Coefficient of variation (CV)2.681928282
Kurtosis28.59010678
Mean0.1451239084
Median Absolute Deviation (MAD)0
Skewness3.610688965
Sum74513
Variance0.1514859141
MonotonicityNot monotonic
2024-11-14T14:14:17.280809image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 443611
75.1%
1 66364
 
11.2%
2 2802
 
0.5%
3 413
 
0.1%
4 129
 
< 0.1%
5 54
 
< 0.1%
7 45
 
< 0.1%
6 10
 
< 0.1%
10 6
 
< 0.1%
8 5
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 443611
75.1%
1 66364
 
11.2%
2 2802
 
0.5%
3 413
 
0.1%
4 129
 
< 0.1%
ValueCountFrequency (%)
10 6
 
< 0.1%
9 5
 
< 0.1%
8 5
 
< 0.1%
7 45
< 0.1%
6 10
 
< 0.1%

V73
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1399821597
Minimum0
Maximum7
Zeros444786
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:17.396810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3670980003
Coefficient of variation (CV)2.622462756
Kurtosis8.139366183
Mean0.1399821597
Median Absolute Deviation (MAD)0
Skewness2.646426722
Sum71873
Variance0.1347609418
MonotonicityNot monotonic
2024-11-14T14:14:17.529834image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 444786
75.3%
1 65814
 
11.1%
2 2551
 
0.4%
3 235
 
< 0.1%
4 43
 
< 0.1%
5 11
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 444786
75.3%
1 65814
 
11.1%
2 2551
 
0.4%
3 235
 
< 0.1%
4 43
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 3
 
< 0.1%
5 11
 
< 0.1%
4 43
 
< 0.1%
3 235
< 0.1%

V74
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing77096
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.1521470696
Minimum0
Maximum8
Zeros440878
Zeros (%)74.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:17.663828image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3932741225
Coefficient of variation (CV)2.584828768
Kurtosis10.59984249
Mean0.1521470696
Median Absolute Deviation (MAD)0
Skewness2.813098077
Sum78119
Variance0.1546645354
MonotonicityNot monotonic
2024-11-14T14:14:17.796813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 440878
74.7%
1 67816
 
11.5%
2 4109
 
0.7%
3 525
 
0.1%
4 86
 
< 0.1%
5 21
 
< 0.1%
6 4
 
< 0.1%
7 3
 
< 0.1%
8 2
 
< 0.1%
(Missing) 77096
 
13.1%
ValueCountFrequency (%)
0 440878
74.7%
1 67816
 
11.5%
2 4109
 
0.7%
3 525
 
0.1%
4 86
 
< 0.1%
ValueCountFrequency (%)
8 2
 
< 0.1%
7 3
 
< 0.1%
6 4
 
< 0.1%
5 21
 
< 0.1%
4 86
< 0.1%

V75
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.5442781465
Minimum0
Maximum4
Zeros232467
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:17.922820image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5143176189
Coefficient of variation (CV)0.9449536458
Kurtosis-1.462479195
Mean0.5442781465
Median Absolute Deviation (MAD)0
Skewness0.01772885254
Sum272888
Variance0.2645226131
MonotonicityNot monotonic
2024-11-14T14:14:18.050813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 265082
44.9%
0 232467
39.4%
2 3676
 
0.6%
3 150
 
< 0.1%
4 1
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 232467
39.4%
1 265082
44.9%
2 3676
 
0.6%
3 150
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 150
 
< 0.1%
2 3676
 
0.6%
1 265082
44.9%
0 232467
39.4%

V76
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.587557043
Minimum0
Maximum6
Zeros217817
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:18.176806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5382304466
Coefficient of variation (CV)0.9160479872
Kurtosis-0.513298105
Mean0.587557043
Median Absolute Deviation (MAD)0
Skewness0.1760253972
Sum294587
Variance0.2896920137
MonotonicityNot monotonic
2024-11-14T14:14:18.339815image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 273293
46.3%
0 217817
36.9%
2 9571
 
1.6%
3 641
 
0.1%
4 43
 
< 0.1%
5 9
 
< 0.1%
6 2
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 217817
36.9%
1 273293
46.3%
2 9571
 
1.6%
3 641
 
0.1%
4 43
 
< 0.1%
ValueCountFrequency (%)
6 2
 
< 0.1%
5 9
 
< 0.1%
4 43
 
< 0.1%
3 641
 
0.1%
2 9571
1.6%

V77
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean1.086892871
Minimum0
Maximum30
Zeros571
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:18.534817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5329575313
Coefficient of variation (CV)0.4903496431
Kurtosis297.5110757
Mean1.086892871
Median Absolute Deviation (MAD)0
Skewness13.2327296
Sum544942
Variance0.2840437301
MonotonicityNot monotonic
2024-11-14T14:14:18.770807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 474434
80.3%
2 18955
 
3.2%
3 3695
 
0.6%
4 1623
 
0.3%
5 742
 
0.1%
0 571
 
0.1%
6 415
 
0.1%
7 297
 
0.1%
8 183
 
< 0.1%
9 157
 
< 0.1%
Other values (21) 304
 
0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 571
 
0.1%
1 474434
80.3%
2 18955
 
3.2%
3 3695
 
0.6%
4 1623
 
0.3%
ValueCountFrequency (%)
30 1
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
26 1
< 0.1%

V78
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean1.144462439
Minimum0
Maximum31
Zeros571
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:18.924813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7814740823
Coefficient of variation (CV)0.6828306945
Kurtosis355.2056852
Mean1.144462439
Median Absolute Deviation (MAD)0
Skewness15.27020137
Sum573806
Variance0.6107017412
MonotonicityNot monotonic
2024-11-14T14:14:19.101211image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 457915
77.5%
2 31364
 
5.3%
3 6135
 
1.0%
4 2261
 
0.4%
5 1125
 
0.2%
6 609
 
0.1%
0 571
 
0.1%
7 353
 
0.1%
8 211
 
< 0.1%
9 157
 
< 0.1%
Other values (22) 675
 
0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 571
 
0.1%
1 457915
77.5%
2 31364
 
5.3%
3 6135
 
1.0%
4 2261
 
0.4%
ValueCountFrequency (%)
31 1
 
< 0.1%
30 7
< 0.1%
29 4
< 0.1%
28 4
< 0.1%
27 3
< 0.1%

V79
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.1368673411
Minimum0
Maximum7
Zeros436802
Zeros (%)74.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:19.301762image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3799037769
Coefficient of variation (CV)2.775708025
Kurtosis32.70423157
Mean0.1368673411
Median Absolute Deviation (MAD)0
Skewness3.886899142
Sum68622
Variance0.1443268797
MonotonicityNot monotonic
2024-11-14T14:14:19.448182image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 436802
74.0%
1 61751
 
10.5%
2 2179
 
0.4%
3 435
 
0.1%
7 109
 
< 0.1%
4 68
 
< 0.1%
5 19
 
< 0.1%
6 13
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 436802
74.0%
1 61751
 
10.5%
2 2179
 
0.4%
3 435
 
0.1%
4 68
 
< 0.1%
ValueCountFrequency (%)
7 109
 
< 0.1%
6 13
 
< 0.1%
5 19
 
< 0.1%
4 68
 
< 0.1%
3 435
0.1%

V80
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.143953839
Minimum0
Maximum19
Zeros434732
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:19.584182image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4099318748
Coefficient of variation (CV)2.847661983
Kurtosis95.49085536
Mean0.143953839
Median Absolute Deviation (MAD)0
Skewness5.687943292
Sum72175
Variance0.1680441419
MonotonicityNot monotonic
2024-11-14T14:14:19.789181image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 434732
73.6%
1 63368
 
10.7%
2 2283
 
0.4%
3 475
 
0.1%
4 245
 
< 0.1%
5 112
 
< 0.1%
6 52
 
< 0.1%
7 48
 
< 0.1%
8 20
 
< 0.1%
9 13
 
< 0.1%
Other values (10) 28
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 434732
73.6%
1 63368
 
10.7%
2 2283
 
0.4%
3 475
 
0.1%
4 245
 
< 0.1%
ValueCountFrequency (%)
19 1
< 0.1%
18 1
< 0.1%
17 1
< 0.1%
16 1
< 0.1%
15 2
< 0.1%

V81
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.1526957812
Minimum0
Maximum19
Zeros434653
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:19.931185image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4522977518
Coefficient of variation (CV)2.96208414
Kurtosis85.39962675
Mean0.1526957812
Median Absolute Deviation (MAD)0
Skewness5.942350772
Sum76558
Variance0.2045732563
MonotonicityNot monotonic
2024-11-14T14:14:20.126177image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 434653
73.6%
1 60829
 
10.3%
2 4033
 
0.7%
3 902
 
0.2%
4 509
 
0.1%
5 191
 
< 0.1%
6 106
 
< 0.1%
7 68
 
< 0.1%
8 29
 
< 0.1%
9 20
 
< 0.1%
Other values (10) 36
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 434653
73.6%
1 60829
 
10.3%
2 4033
 
0.7%
3 902
 
0.2%
4 509
 
0.1%
ValueCountFrequency (%)
19 1
< 0.1%
18 1
< 0.1%
17 1
< 0.1%
16 1
< 0.1%
15 2
< 0.1%

V82
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.8446096343
Minimum0
Maximum7
Zeros88757
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:20.355181image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4225286089
Coefficient of variation (CV)0.5002649647
Kurtosis2.857727822
Mean0.8446096343
Median Absolute Deviation (MAD)0
Skewness-0.7117931459
Sum423467
Variance0.1785304253
MonotonicityNot monotonic
2024-11-14T14:14:20.483200image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 402612
68.2%
0 88757
 
15.0%
2 9288
 
1.6%
3 626
 
0.1%
4 76
 
< 0.1%
6 8
 
< 0.1%
5 7
 
< 0.1%
7 2
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 88757
 
15.0%
1 402612
68.2%
2 9288
 
1.6%
3 626
 
0.1%
4 76
 
< 0.1%
ValueCountFrequency (%)
7 2
 
< 0.1%
6 8
 
< 0.1%
5 7
 
< 0.1%
4 76
 
< 0.1%
3 626
0.1%

V83
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.8819648328
Minimum0
Maximum7
Zeros83605
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:20.603187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4707567576
Coefficient of variation (CV)0.5337591025
Kurtosis10.64407886
Mean0.8819648328
Median Absolute Deviation (MAD)0
Skewness0.5609963588
Sum442196
Variance0.2216119248
MonotonicityNot monotonic
2024-11-14T14:14:20.732186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 396619
67.2%
0 83605
 
14.2%
2 18834
 
3.2%
3 1816
 
0.3%
4 292
 
< 0.1%
7 109
 
< 0.1%
5 76
 
< 0.1%
6 25
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 83605
 
14.2%
1 396619
67.2%
2 18834
 
3.2%
3 1816
 
0.3%
4 292
 
< 0.1%
ValueCountFrequency (%)
7 109
 
< 0.1%
6 25
 
< 0.1%
5 76
 
< 0.1%
4 292
 
< 0.1%
3 1816
0.3%

V84
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.1371445781
Minimum0
Maximum7
Zeros435246
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:20.860186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3618749525
Coefficient of variation (CV)2.638638417
Kurtosis10.04048826
Mean0.1371445781
Median Absolute Deviation (MAD)0
Skewness2.713794165
Sum68761
Variance0.1309534813
MonotonicityNot monotonic
2024-11-14T14:14:20.987190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 435246
73.7%
1 63848
 
10.8%
2 2035
 
0.3%
3 191
 
< 0.1%
4 35
 
< 0.1%
7 10
 
< 0.1%
5 6
 
< 0.1%
6 5
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 435246
73.7%
1 63848
 
10.8%
2 2035
 
0.3%
3 191
 
< 0.1%
4 35
 
< 0.1%
ValueCountFrequency (%)
7 10
 
< 0.1%
6 5
 
< 0.1%
5 6
 
< 0.1%
4 35
 
< 0.1%
3 191
< 0.1%

V85
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.149787784
Minimum0
Maximum7
Zeros435103
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:21.167177image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4194449382
Coefficient of variation (CV)2.800261323
Kurtosis23.23197654
Mean0.149787784
Median Absolute Deviation (MAD)0
Skewness3.741952309
Sum75100
Variance0.1759340562
MonotonicityNot monotonic
2024-11-14T14:14:21.279193image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 435103
73.7%
1 59565
 
10.1%
2 5322
 
0.9%
3 987
 
0.2%
4 216
 
< 0.1%
6 121
 
< 0.1%
5 47
 
< 0.1%
7 15
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 435103
73.7%
1 59565
 
10.1%
2 5322
 
0.9%
3 987
 
0.2%
4 216
 
< 0.1%
ValueCountFrequency (%)
7 15
 
< 0.1%
6 121
 
< 0.1%
5 47
 
< 0.1%
4 216
 
< 0.1%
3 987
0.2%

V86
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean1.064885435
Minimum0
Maximum30
Zeros727
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:21.439728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4198066704
Coefficient of variation (CV)0.3942270751
Kurtosis547.1436835
Mean1.064885435
Median Absolute Deviation (MAD)0
Skewness16.9305372
Sum533908
Variance0.1762376405
MonotonicityNot monotonic
2024-11-14T14:14:21.604589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 476911
80.8%
2 19527
 
3.3%
3 2428
 
0.4%
4 743
 
0.1%
0 727
 
0.1%
5 355
 
0.1%
6 217
 
< 0.1%
7 128
 
< 0.1%
8 86
 
< 0.1%
9 79
 
< 0.1%
Other values (21) 175
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 727
 
0.1%
1 476911
80.8%
2 19527
 
3.3%
3 2428
 
0.4%
4 743
 
0.1%
ValueCountFrequency (%)
30 1
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
26 1
< 0.1%

V87
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean1.099456296
Minimum0
Maximum30
Zeros694
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:21.750588image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5112810877
Coefficient of variation (CV)0.4650308424
Kurtosis405.0732211
Mean1.099456296
Median Absolute Deviation (MAD)0
Skewness14.80452602
Sum551241
Variance0.2614083506
MonotonicityNot monotonic
2024-11-14T14:14:21.892579image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 463708
78.5%
2 30832
 
5.2%
3 3761
 
0.6%
4 1033
 
0.2%
0 694
 
0.1%
5 480
 
0.1%
6 205
 
< 0.1%
7 148
 
< 0.1%
8 147
 
< 0.1%
10 80
 
< 0.1%
Other values (21) 288
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 694
 
0.1%
1 463708
78.5%
2 30832
 
5.2%
3 3761
 
0.6%
4 1033
 
0.2%
ValueCountFrequency (%)
30 1
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
26 1
< 0.1%

V88
Real number (ℝ)

MISSING  SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.9992460748
Minimum0
Maximum1
Zeros378
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:22.032581image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02744737323
Coefficient of variation (CV)0.02746808211
Kurtosis1321.405479
Mean0.9992460748
Median Absolute Deviation (MAD)0
Skewness-36.37856797
Sum500998
Variance0.0007533582972
MonotonicityNot monotonic
2024-11-14T14:14:22.155586image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 500998
84.8%
0 378
 
0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 378
 
0.1%
1 500998
84.8%
ValueCountFrequency (%)
1 500998
84.8%
0 378
 
0.1%

V89
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.0009015190197
Minimum0
Maximum2
Zeros500954
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:22.274591image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03194337153
Coefficient of variation (CV)35.43283151
Kurtosis1663.098562
Mean0.0009015190197
Median Absolute Deviation (MAD)0
Skewness38.58884552
Sum452
Variance0.001020378985
MonotonicityNot monotonic
2024-11-14T14:14:22.402592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 500954
84.8%
1 392
 
0.1%
2 30
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 500954
84.8%
1 392
 
0.1%
2 30
 
< 0.1%
ValueCountFrequency (%)
2 30
 
< 0.1%
1 392
 
0.1%
0 500954
84.8%

V90
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.4018620756
Minimum0
Maximum5
Zeros305817
Zeros (%)51.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:22.529598image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5161528893
Coefficient of variation (CV)1.284403084
Kurtosis-0.3376174193
Mean0.4018620756
Median Absolute Deviation (MAD)0
Skewness0.7424828123
Sum201484
Variance0.2664138052
MonotonicityNot monotonic
2024-11-14T14:14:22.648604image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 305817
51.8%
1 190162
32.2%
2 4941
 
0.8%
3 388
 
0.1%
4 64
 
< 0.1%
5 4
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 305817
51.8%
1 190162
32.2%
2 4941
 
0.8%
3 388
 
0.1%
4 64
 
< 0.1%
ValueCountFrequency (%)
5 4
 
< 0.1%
4 64
 
< 0.1%
3 388
 
0.1%
2 4941
 
0.8%
1 190162
32.2%

V91
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.4204608916
Minimum0
Maximum6
Zeros305135
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:22.764582image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5618647229
Coefficient of variation (CV)1.336306739
Kurtosis3.047636135
Mean0.4204608916
Median Absolute Deviation (MAD)0
Skewness1.246270997
Sum210809
Variance0.3156919669
MonotonicityNot monotonic
2024-11-14T14:14:22.886581image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 305135
51.7%
1 184121
31.2%
2 10470
 
1.8%
3 1086
 
0.2%
4 336
 
0.1%
5 222
 
< 0.1%
6 6
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 305135
51.7%
1 184121
31.2%
2 10470
 
1.8%
3 1086
 
0.2%
4 336
 
0.1%
ValueCountFrequency (%)
6 6
 
< 0.1%
5 222
 
< 0.1%
4 336
 
0.1%
3 1086
 
0.2%
2 10470
1.8%

V92
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.150322313
Minimum0
Maximum7
Zeros428699
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:23.392600image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3756818992
Coefficient of variation (CV)2.499175882
Kurtosis8.063727172
Mean0.150322313
Median Absolute Deviation (MAD)0
Skewness2.527127305
Sum75368
Variance0.1411368894
MonotonicityNot monotonic
2024-11-14T14:14:23.514592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 428699
72.6%
1 70511
 
11.9%
2 1744
 
0.3%
3 348
 
0.1%
4 57
 
< 0.1%
6 8
 
< 0.1%
5 7
 
< 0.1%
7 2
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 428699
72.6%
1 70511
 
11.9%
2 1744
 
0.3%
3 348
 
0.1%
4 57
 
< 0.1%
ValueCountFrequency (%)
7 2
 
< 0.1%
6 8
 
< 0.1%
5 7
 
< 0.1%
4 57
 
< 0.1%
3 348
0.1%

V93
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.1548119575
Minimum0
Maximum7
Zeros428694
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:23.662592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4023135553
Coefficient of variation (CV)2.598724038
Kurtosis27.48519217
Mean0.1548119575
Median Absolute Deviation (MAD)0
Skewness3.589190617
Sum77619
Variance0.1618561968
MonotonicityNot monotonic
2024-11-14T14:14:23.804921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 428694
72.6%
1 69196
 
11.7%
2 2682
 
0.5%
3 556
 
0.1%
7 109
 
< 0.1%
4 80
 
< 0.1%
5 46
 
< 0.1%
6 13
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 428694
72.6%
1 69196
 
11.7%
2 2682
 
0.5%
3 556
 
0.1%
4 80
 
< 0.1%
ValueCountFrequency (%)
7 109
 
< 0.1%
6 13
 
< 0.1%
5 46
 
< 0.1%
4 80
 
< 0.1%
3 556
0.1%

V94
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing89164
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean0.1370069569
Minimum0
Maximum2
Zeros432688
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:23.932923image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.343878238
Coefficient of variation (CV)2.509932677
Kurtosis2.462461064
Mean0.1370069569
Median Absolute Deviation (MAD)0
Skewness2.111911375
Sum68692
Variance0.1182522426
MonotonicityNot monotonic
2024-11-14T14:14:24.067919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 432688
73.3%
1 68684
 
11.6%
2 4
 
< 0.1%
(Missing) 89164
 
15.1%
ValueCountFrequency (%)
0 432688
73.3%
1 68684
 
11.6%
2 4
 
< 0.1%
ValueCountFrequency (%)
2 4
 
< 0.1%
1 68684
 
11.6%
0 432688
73.3%

V95
Real number (ℝ)

SKEWED  ZEROS 

Distinct881
Distinct (%)0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.038019335
Minimum0
Maximum880
Zeros510542
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:24.224921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum880
Range880
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.03430368
Coefficient of variation (CV)20.26388427
Kurtosis991.7738242
Mean1.038019335
Median Absolute Deviation (MAD)0
Skewness30.2421223
Sum612666
Variance442.4419312
MonotonicityNot monotonic
2024-11-14T14:14:24.389977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 510542
86.5%
1 52008
 
8.8%
2 14804
 
2.5%
3 5758
 
1.0%
4 2646
 
0.4%
5 1281
 
0.2%
6 684
 
0.1%
7 411
 
0.1%
8 239
 
< 0.1%
9 167
 
< 0.1%
Other values (871) 1686
 
0.3%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 510542
86.5%
1 52008
 
8.8%
2 14804
 
2.5%
3 5758
 
1.0%
4 2646
 
0.4%
ValueCountFrequency (%)
880 1
< 0.1%
879 1
< 0.1%
878 1
< 0.1%
877 1
< 0.1%
876 1
< 0.1%

V96
Real number (ℝ)

SKEWED  ZEROS 

Distinct1410
Distinct (%)0.2%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.005189538
Minimum0
Maximum1410
Zeros366578
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:24.530051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum1410
Range1410
Interquartile range (IQR)1

Descriptive statistics

Standard deviation40.2394902
Coefficient of variation (CV)13.39000076
Kurtosis728.4514599
Mean3.005189538
Median Absolute Deviation (MAD)0
Skewness26.02918122
Sum1773741
Variance1619.216572
MonotonicityNot monotonic
2024-11-14T14:14:24.699564image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 366578
62.1%
1 95636
 
16.2%
2 46607
 
7.9%
3 25624
 
4.3%
4 15839
 
2.7%
5 9376
 
1.6%
6 6240
 
1.1%
7 4378
 
0.7%
8 3169
 
0.5%
9 2333
 
0.4%
Other values (1400) 14446
 
2.4%
ValueCountFrequency (%)
0 366578
62.1%
1 95636
 
16.2%
2 46607
 
7.9%
3 25624
 
4.3%
4 15839
 
2.7%
ValueCountFrequency (%)
1410 2
< 0.1%
1409 1
 
< 0.1%
1408 2
< 0.1%
1407 3
< 0.1%
1406 2
< 0.1%

V97
Real number (ℝ)

SKEWED  ZEROS 

Distinct976
Distinct (%)0.2%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.718933087
Minimum0
Maximum976
Zeros454213
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:24.884063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum976
Range976
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.70044875
Coefficient of variation (CV)16.11490812
Kurtosis689.4805302
Mean1.718933087
Median Absolute Deviation (MAD)0
Skewness25.32358346
Sum1014559
Variance767.3148612
MonotonicityNot monotonic
2024-11-14T14:14:25.067075image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 454213
76.9%
1 78056
 
13.2%
2 26249
 
4.4%
3 11485
 
1.9%
4 5993
 
1.0%
5 3616
 
0.6%
6 2347
 
0.4%
7 1582
 
0.3%
8 1097
 
0.2%
9 798
 
0.1%
Other values (966) 4790
 
0.8%
ValueCountFrequency (%)
0 454213
76.9%
1 78056
 
13.2%
2 26249
 
4.4%
3 11485
 
1.9%
4 5993
 
1.0%
ValueCountFrequency (%)
976 1
< 0.1%
975 1
< 0.1%
974 1
< 0.1%
973 1
< 0.1%
972 1
< 0.1%

V98
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.06198473127
Minimum0
Maximum12
Zeros558622
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:25.217055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2849948368
Coefficient of variation (CV)4.597823222
Kurtosis69.83107996
Mean0.06198473127
Median Absolute Deviation (MAD)0
Skewness6.388182368
Sum36585
Variance0.08122205702
MonotonicityNot monotonic
2024-11-14T14:14:25.351057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 558622
94.6%
1 27768
 
4.7%
2 3058
 
0.5%
3 568
 
0.1%
4 135
 
< 0.1%
5 33
 
< 0.1%
6 21
 
< 0.1%
7 12
 
< 0.1%
8 5
 
< 0.1%
9 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 558622
94.6%
1 27768
 
4.7%
2 3058
 
0.5%
3 568
 
0.1%
4 135
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
8 5
< 0.1%

V99
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.8949859884
Minimum0
Maximum88
Zeros403766
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:25.515057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum88
Range88
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.72255216
Coefficient of variation (CV)3.042005345
Kurtosis214.7354223
Mean0.8949859884
Median Absolute Deviation (MAD)0
Skewness11.0639662
Sum528244
Variance7.412290265
MonotonicityNot monotonic
2024-11-14T14:14:25.688063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 403766
68.4%
1 86901
 
14.7%
2 39884
 
6.8%
3 21053
 
3.6%
4 13162
 
2.2%
5 7142
 
1.2%
6 4627
 
0.8%
7 3185
 
0.5%
8 2169
 
0.4%
9 1596
 
0.3%
Other values (79) 6741
 
1.1%
ValueCountFrequency (%)
0 403766
68.4%
1 86901
 
14.7%
2 39884
 
6.8%
3 21053
 
3.6%
4 13162
 
2.2%
ValueCountFrequency (%)
88 1
 
< 0.1%
87 3
 
< 0.1%
86 10
< 0.1%
85 8
< 0.1%
84 10
< 0.1%

V100
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.2735037087
Minimum0
Maximum28
Zeros496523
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:25.867798image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.947175742
Coefficient of variation (CV)3.463118458
Kurtosis128.2278754
Mean0.2735037087
Median Absolute Deviation (MAD)0
Skewness8.735114376
Sum161429
Variance0.8971418862
MonotonicityNot monotonic
2024-11-14T14:14:26.030706image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 496523
84.1%
1 63797
 
10.8%
2 16343
 
2.8%
3 6424
 
1.1%
4 3474
 
0.6%
5 777
 
0.1%
10 748
 
0.1%
7 590
 
0.1%
6 389
 
0.1%
9 387
 
0.1%
Other values (19) 774
 
0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 496523
84.1%
1 63797
 
10.8%
2 16343
 
2.8%
3 6424
 
1.1%
4 3474
 
0.6%
ValueCountFrequency (%)
28 6
< 0.1%
27 6
< 0.1%
26 1
 
< 0.1%
25 3
< 0.1%
24 6
< 0.1%

V101
Real number (ℝ)

SKEWED  ZEROS 

Distinct870
Distinct (%)0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.8892492028
Minimum0
Maximum869
Zeros556214
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:26.188689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum869
Range869
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.58257116
Coefficient of variation (CV)23.14601024
Kurtosis1015.578724
Mean0.8892492028
Median Absolute Deviation (MAD)0
Skewness30.63115038
Sum524858
Variance423.6422355
MonotonicityNot monotonic
2024-11-14T14:14:26.348313image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 556214
94.2%
1 19797
 
3.4%
2 6803
 
1.2%
3 2995
 
0.5%
4 1379
 
0.2%
5 735
 
0.1%
6 380
 
0.1%
7 227
 
< 0.1%
8 141
 
< 0.1%
9 86
 
< 0.1%
Other values (860) 1469
 
0.2%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 556214
94.2%
1 19797
 
3.4%
2 6803
 
1.2%
3 2995
 
0.5%
4 1379
 
0.2%
ValueCountFrequency (%)
869 1
< 0.1%
868 1
< 0.1%
867 1
< 0.1%
866 1
< 0.1%
865 1
< 0.1%

V102
Real number (ℝ)

SKEWED  ZEROS 

Distinct1285
Distinct (%)0.2%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.827228892
Minimum0
Maximum1285
Zeros535961
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:26.501320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum1285
Range1285
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.9284556
Coefficient of variation (CV)19.66281058
Kurtosis780.8923294
Mean1.827228892
Median Absolute Deviation (MAD)0
Skewness26.99022389
Sum1078478
Variance1290.853922
MonotonicityNot monotonic
2024-11-14T14:14:26.683317image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 535961
90.8%
1 24472
 
4.1%
2 10448
 
1.8%
3 5439
 
0.9%
4 3227
 
0.5%
5 2009
 
0.3%
6 1434
 
0.2%
7 992
 
0.2%
8 661
 
0.1%
9 522
 
0.1%
Other values (1275) 5061
 
0.9%
ValueCountFrequency (%)
0 535961
90.8%
1 24472
 
4.1%
2 10448
 
1.8%
3 5439
 
0.9%
4 3227
 
0.5%
ValueCountFrequency (%)
1285 17
< 0.1%
1284 1
 
< 0.1%
1283 1
 
< 0.1%
1282 1
 
< 0.1%
1281 2
 
< 0.1%

V103
Real number (ℝ)

SKEWED  ZEROS 

Distinct928
Distinct (%)0.2%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.279287934
Minimum0
Maximum928
Zeros547743
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:26.910318image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum928
Range928
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.68564204
Coefficient of variation (CV)20.07807731
Kurtosis731.1693715
Mean1.279287934
Median Absolute Deviation (MAD)0
Skewness26.0311596
Sum755069
Variance659.7522069
MonotonicityNot monotonic
2024-11-14T14:14:27.142319image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 547743
92.8%
1 21363
 
3.6%
2 8399
 
1.4%
3 4117
 
0.7%
4 2268
 
0.4%
5 1352
 
0.2%
6 880
 
0.1%
7 576
 
0.1%
8 418
 
0.1%
9 325
 
0.1%
Other values (918) 2785
 
0.5%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 547743
92.8%
1 21363
 
3.6%
2 8399
 
1.4%
3 4117
 
0.7%
4 2268
 
0.4%
ValueCountFrequency (%)
928 1
< 0.1%
927 1
< 0.1%
926 1
< 0.1%
925 1
< 0.1%
924 1
< 0.1%

V104
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.08543337637
Minimum0
Maximum15
Zeros563527
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:27.372312image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.648717554
Coefficient of variation (CV)7.593256658
Kurtosis266.0310329
Mean0.08543337637
Median Absolute Deviation (MAD)0
Skewness14.88376148
Sum50425
Variance0.4208344648
MonotonicityNot monotonic
2024-11-14T14:14:27.537316image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 563527
95.4%
1 19375
 
3.3%
2 4089
 
0.7%
3 1126
 
0.2%
11 1000
 
0.2%
4 401
 
0.1%
15 215
 
< 0.1%
5 169
 
< 0.1%
6 93
 
< 0.1%
12 73
 
< 0.1%
Other values (6) 158
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 563527
95.4%
1 19375
 
3.3%
2 4089
 
0.7%
3 1126
 
0.2%
4 401
 
0.1%
ValueCountFrequency (%)
15 215
 
< 0.1%
14 18
 
< 0.1%
13 4
 
< 0.1%
12 73
 
< 0.1%
11 1000
0.2%

V105
Real number (ℝ)

SKEWED  ZEROS 

Distinct100
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.2811448496
Minimum0
Maximum99
Zeros547750
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:27.754317image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.373948251
Coefficient of variation (CV)12.00074714
Kurtosis463.3047805
Mean0.2811448496
Median Absolute Deviation (MAD)0
Skewness20.89142696
Sum165939
Variance11.3835268
MonotonicityNot monotonic
2024-11-14T14:14:27.979325image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 547750
92.8%
1 27711
 
4.7%
2 7508
 
1.3%
3 2566
 
0.4%
4 1103
 
0.2%
77 871
 
0.1%
5 603
 
0.1%
6 418
 
0.1%
7 251
 
< 0.1%
38 174
 
< 0.1%
Other values (90) 1271
 
0.2%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 547750
92.8%
1 27711
 
4.7%
2 7508
 
1.3%
3 2566
 
0.4%
4 1103
 
0.2%
ValueCountFrequency (%)
99 4
< 0.1%
98 1
 
< 0.1%
97 1
 
< 0.1%
96 2
< 0.1%
95 1
 
< 0.1%

V106
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.1645844134
Minimum0
Maximum55
Zeros558074
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:28.275881image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum55
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.825665425
Coefficient of variation (CV)11.09257789
Kurtosis403.9863977
Mean0.1645844134
Median Absolute Deviation (MAD)0
Skewness19.48551978
Sum97142
Variance3.333054244
MonotonicityNot monotonic
2024-11-14T14:14:28.442010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 558074
94.5%
1 22306
 
3.8%
2 5381
 
0.9%
3 1590
 
0.3%
4 595
 
0.1%
35 419
 
0.1%
5 317
 
0.1%
39 224
 
< 0.1%
32 176
 
< 0.1%
42 151
 
< 0.1%
Other values (46) 993
 
0.2%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 558074
94.5%
1 22306
 
3.8%
2 5381
 
0.9%
3 1590
 
0.3%
4 595
 
0.1%
ValueCountFrequency (%)
55 1
 
< 0.1%
54 3
< 0.1%
53 2
< 0.1%
52 2
< 0.1%
51 2
< 0.1%

V107
Real number (ℝ)

SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.999579822
Minimum0
Maximum1
Zeros248
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:28.604008image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0204939551
Coefficient of variation (CV)0.02050256983
Kurtosis2374.964098
Mean0.999579822
Median Absolute Deviation (MAD)0
Skewness-48.75403625
Sum589978
Variance0.0004200021955
MonotonicityNot monotonic
2024-11-14T14:14:28.775006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 589978
99.9%
0 248
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 248
 
< 0.1%
1 589978
99.9%
ValueCountFrequency (%)
1 589978
99.9%
0 248
 
< 0.1%

V108
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.004613487
Minimum0
Maximum7
Zeros249
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:28.975008image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08114598608
Coefficient of variation (CV)0.08077333933
Kurtosis587.011167
Mean1.004613487
Median Absolute Deviation (MAD)0
Skewness17.82411888
Sum592949
Variance0.006584671057
MonotonicityNot monotonic
2024-11-14T14:14:29.136007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 587242
99.4%
2 2566
 
0.4%
0 249
 
< 0.1%
3 122
 
< 0.1%
4 35
 
< 0.1%
5 7
 
< 0.1%
7 4
 
< 0.1%
6 1
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 249
 
< 0.1%
1 587242
99.4%
2 2566
 
0.4%
3 122
 
< 0.1%
4 35
 
< 0.1%
ValueCountFrequency (%)
7 4
 
< 0.1%
6 1
 
< 0.1%
5 7
 
< 0.1%
4 35
 
< 0.1%
3 122
< 0.1%

V109
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.014816358
Minimum0
Maximum7
Zeros60
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:29.306014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1277693752
Coefficient of variation (CV)0.1259039374
Kurtosis136.4215721
Mean1.014816358
Median Absolute Deviation (MAD)0
Skewness9.726836542
Sum598971
Variance0.01632501325
MonotonicityNot monotonic
2024-11-14T14:14:29.462007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 581702
98.5%
2 8198
 
1.4%
3 212
 
< 0.1%
0 60
 
< 0.1%
4 42
 
< 0.1%
5 7
 
< 0.1%
7 4
 
< 0.1%
6 1
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 60
 
< 0.1%
1 581702
98.5%
2 8198
 
1.4%
3 212
 
< 0.1%
4 42
 
< 0.1%
ValueCountFrequency (%)
7 4
 
< 0.1%
6 1
 
< 0.1%
5 7
 
< 0.1%
4 42
 
< 0.1%
3 212
< 0.1%

V110
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.007739408
Minimum0
Maximum7
Zeros174
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:29.611010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09728968359
Coefficient of variation (CV)0.09654250175
Kurtosis315.8548091
Mean1.007739408
Median Absolute Deviation (MAD)0
Skewness13.75109956
Sum594794
Variance0.009465282533
MonotonicityNot monotonic
2024-11-14T14:14:29.780009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 585561
99.2%
2 4308
 
0.7%
0 174
 
< 0.1%
3 136
 
< 0.1%
4 35
 
< 0.1%
5 7
 
< 0.1%
7 4
 
< 0.1%
6 1
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 174
 
< 0.1%
1 585561
99.2%
2 4308
 
0.7%
3 136
 
< 0.1%
4 35
 
< 0.1%
ValueCountFrequency (%)
7 4
 
< 0.1%
6 1
 
< 0.1%
5 7
 
< 0.1%
4 35
 
< 0.1%
3 136
< 0.1%

V111
Real number (ℝ)

SKEWED 

Distinct10
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.002563425
Minimum0
Maximum9
Zeros249
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:29.911009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07083033832
Coefficient of variation (CV)0.07064923431
Kurtosis2074.107329
Mean1.002563425
Median Absolute Deviation (MAD)0
Skewness31.70748668
Sum591739
Variance0.005016936826
MonotonicityNot monotonic
2024-11-14T14:14:30.037014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 588499
99.7%
2 1293
 
0.2%
0 249
 
< 0.1%
3 129
 
< 0.1%
4 36
 
< 0.1%
5 12
 
< 0.1%
9 4
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 249
 
< 0.1%
1 588499
99.7%
2 1293
 
0.2%
3 129
 
< 0.1%
4 36
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 2
 
< 0.1%
5 12
< 0.1%

V112
Real number (ℝ)

SKEWED 

Distinct10
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.005355576
Minimum0
Maximum9
Zeros60
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:30.171024image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08461738414
Coefficient of variation (CV)0.08416662342
Kurtosis1056.955087
Mean1.005355576
Median Absolute Deviation (MAD)0
Skewness23.14613997
Sum593387
Variance0.007160101699
MonotonicityNot monotonic
2024-11-14T14:14:30.305014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 587233
99.4%
2 2744
 
0.5%
3 133
 
< 0.1%
0 60
 
< 0.1%
4 36
 
< 0.1%
5 12
 
< 0.1%
9 4
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 60
 
< 0.1%
1 587233
99.4%
2 2744
 
0.5%
3 133
 
< 0.1%
4 36
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 2
 
< 0.1%
5 12
< 0.1%

V113
Real number (ℝ)

SKEWED 

Distinct10
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.00338345
Minimum0
Maximum9
Zeros174
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:30.467151image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07475367375
Coefficient of variation (CV)0.07450160132
Kurtosis1690.045427
Mean1.00338345
Median Absolute Deviation (MAD)0
Skewness28.96513901
Sum592223
Variance0.005588111739
MonotonicityNot monotonic
2024-11-14T14:14:30.603438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 588168
99.6%
2 1696
 
0.3%
0 174
 
< 0.1%
3 132
 
< 0.1%
4 36
 
< 0.1%
5 12
 
< 0.1%
9 4
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 174
 
< 0.1%
1 588168
99.6%
2 1696
 
0.3%
3 132
 
< 0.1%
4 36
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 2
 
< 0.1%
5 12
< 0.1%

V114
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.009298133
Minimum0
Maximum6
Zeros250
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:30.728437image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1101789029
Coefficient of variation (CV)0.1091638826
Kurtosis271.8392732
Mean1.009298133
Median Absolute Deviation (MAD)0
Skewness13.05969417
Sum595714
Variance0.01213939065
MonotonicityNot monotonic
2024-11-14T14:14:30.860623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 584688
99.0%
2 4954
 
0.8%
3 255
 
< 0.1%
0 250
 
< 0.1%
4 53
 
< 0.1%
5 15
 
< 0.1%
6 11
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 250
 
< 0.1%
1 584688
99.0%
2 4954
 
0.8%
3 255
 
< 0.1%
4 53
 
< 0.1%
ValueCountFrequency (%)
6 11
 
< 0.1%
5 15
 
< 0.1%
4 53
 
< 0.1%
3 255
 
< 0.1%
2 4954
0.8%

V115
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.032450282
Minimum0
Maximum6
Zeros61
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:30.988628image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1903846434
Coefficient of variation (CV)0.1844007859
Kurtosis56.27032623
Mean1.032450282
Median Absolute Deviation (MAD)0
Skewness6.588832529
Sum609379
Variance0.03624631243
MonotonicityNot monotonic
2024-11-14T14:14:31.113596image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 572121
96.9%
2 17024
 
2.9%
3 909
 
0.2%
4 83
 
< 0.1%
0 61
 
< 0.1%
5 17
 
< 0.1%
6 11
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 61
 
< 0.1%
1 572121
96.9%
2 17024
 
2.9%
3 909
 
0.2%
4 83
 
< 0.1%
ValueCountFrequency (%)
6 11
 
< 0.1%
5 17
 
< 0.1%
4 83
 
< 0.1%
3 909
 
0.2%
2 17024
2.9%

V116
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.015738039
Minimum0
Maximum6
Zeros175
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:31.239609image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1367702545
Coefficient of variation (CV)0.13465111
Kurtosis139.4321339
Mean1.015738039
Median Absolute Deviation (MAD)0
Skewness9.786050209
Sum599515
Variance0.01870610251
MonotonicityNot monotonic
2024-11-14T14:14:31.367600image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 581192
98.4%
2 8375
 
1.4%
3 400
 
0.1%
0 175
 
< 0.1%
4 58
 
< 0.1%
5 15
 
< 0.1%
6 11
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 175
 
< 0.1%
1 581192
98.4%
2 8375
 
1.4%
3 400
 
0.1%
4 58
 
< 0.1%
ValueCountFrequency (%)
6 11
 
< 0.1%
5 15
 
< 0.1%
4 58
 
< 0.1%
3 400
 
0.1%
2 8375
1.4%

V117
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.000391376
Minimum0
Maximum3
Zeros249
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:31.490610image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03523841796
Coefficient of variation (CV)0.03522463191
Kurtosis828.3792109
Mean1.000391376
Median Absolute Deviation (MAD)0
Skewness9.375624171
Sum590457
Variance0.001241746101
MonotonicityNot monotonic
2024-11-14T14:14:31.638605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 589499
99.8%
2 476
 
0.1%
0 249
 
< 0.1%
3 2
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 249
 
< 0.1%
1 589499
99.8%
2 476
 
0.1%
3 2
 
< 0.1%
ValueCountFrequency (%)
3 2
 
< 0.1%
2 476
 
0.1%
1 589499
99.8%
0 249
 
< 0.1%

V118
Real number (ℝ)

SKEWED 

Distinct4
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.001474012
Minimum0
Maximum3
Zeros60
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:31.784600image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04101134972
Coefficient of variation (CV)0.04095098749
Kurtosis603.5961705
Mean1.001474012
Median Absolute Deviation (MAD)0
Skewness21.55620942
Sum591096
Variance0.001681930806
MonotonicityNot monotonic
2024-11-14T14:14:31.955602image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 589238
99.8%
2 926
 
0.2%
0 60
 
< 0.1%
3 2
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 60
 
< 0.1%
1 589238
99.8%
2 926
 
0.2%
3 2
 
< 0.1%
ValueCountFrequency (%)
3 2
 
< 0.1%
2 926
 
0.2%
1 589238
99.8%
0 60
 
< 0.1%

V119
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.000728534
Minimum0
Maximum3
Zeros174
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:32.132593image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03639213789
Coefficient of variation (CV)0.03636564426
Kurtosis774.3172816
Mean1.000728534
Median Absolute Deviation (MAD)0
Skewness15.4775167
Sum590656
Variance0.0013243877
MonotonicityNot monotonic
2024-11-14T14:14:32.250614image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 589450
99.8%
2 600
 
0.1%
0 174
 
< 0.1%
3 2
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 174
 
< 0.1%
1 589450
99.8%
2 600
 
0.1%
3 2
 
< 0.1%
ValueCountFrequency (%)
3 2
 
< 0.1%
2 600
 
0.1%
1 589450
99.8%
0 174
 
< 0.1%

V120
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.000874241
Minimum0
Maximum3
Zeros249
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:32.378611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04168399972
Coefficient of variation (CV)0.04164758968
Kurtosis612.1050493
Mean1.000874241
Median Absolute Deviation (MAD)0
Skewness12.84970399
Sum590742
Variance0.001737555833
MonotonicityNot monotonic
2024-11-14T14:14:32.501595image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 589218
99.8%
2 753
 
0.1%
0 249
 
< 0.1%
3 6
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 249
 
< 0.1%
1 589218
99.8%
2 753
 
0.1%
3 6
 
< 0.1%
ValueCountFrequency (%)
3 6
 
< 0.1%
2 753
 
0.1%
1 589218
99.8%
0 249
 
< 0.1%

V121
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.004276328
Minimum0
Maximum3
Zeros60
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:32.641181image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06709711647
Coefficient of variation (CV)0.06681140897
Kurtosis228.3767288
Mean1.004276328
Median Absolute Deviation (MAD)0
Skewness14.36906372
Sum592750
Variance0.004502023039
MonotonicityNot monotonic
2024-11-14T14:14:32.770496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 587594
99.5%
2 2560
 
0.4%
0 60
 
< 0.1%
3 12
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 60
 
< 0.1%
1 587594
99.5%
2 2560
 
0.4%
3 12
 
< 0.1%
ValueCountFrequency (%)
3 12
 
< 0.1%
2 2560
 
0.4%
1 587594
99.5%
0 60
 
< 0.1%

V122
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.001758648
Minimum0
Maximum3
Zeros174
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:32.890264image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04863635884
Coefficient of variation (CV)0.04855097474
Kurtosis439.822601
Mean1.001758648
Median Absolute Deviation (MAD)0
Skewness15.70777847
Sum591264
Variance0.002365495401
MonotonicityNot monotonic
2024-11-14T14:14:33.009209image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 588846
99.7%
2 1200
 
0.2%
0 174
 
< 0.1%
3 6
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 174
 
< 0.1%
1 588846
99.7%
2 1200
 
0.2%
3 6
 
< 0.1%
ValueCountFrequency (%)
3 6
 
< 0.1%
2 1200
 
0.2%
1 588846
99.7%
0 174
 
< 0.1%

V123
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.031120283
Minimum0
Maximum13
Zeros250
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:33.139202image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2281341877
Coefficient of variation (CV)0.2212488606
Kurtosis301.9417063
Mean1.031120283
Median Absolute Deviation (MAD)0
Skewness12.87553357
Sum608594
Variance0.05204520758
MonotonicityNot monotonic
2024-11-14T14:14:33.282204image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 574712
97.3%
2 13214
 
2.2%
3 1423
 
0.2%
4 339
 
0.1%
0 250
 
< 0.1%
5 127
 
< 0.1%
6 65
 
< 0.1%
7 35
 
< 0.1%
8 24
 
< 0.1%
9 17
 
< 0.1%
Other values (4) 20
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 250
 
< 0.1%
1 574712
97.3%
2 13214
 
2.2%
3 1423
 
0.2%
4 339
 
0.1%
ValueCountFrequency (%)
13 2
 
< 0.1%
12 2
 
< 0.1%
11 4
 
< 0.1%
10 12
< 0.1%
9 17
< 0.1%

V124
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.092974556
Minimum0
Maximum13
Zeros61
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:33.464204image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3741033094
Coefficient of variation (CV)0.3422799804
Kurtosis63.03832074
Mean1.092974556
Median Absolute Deviation (MAD)0
Skewness6.08749049
Sum645102
Variance0.1399532861
MonotonicityNot monotonic
2024-11-14T14:14:33.605200image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 546045
92.5%
2 36778
 
6.2%
3 4856
 
0.8%
4 2004
 
0.3%
5 243
 
< 0.1%
6 126
 
< 0.1%
0 61
 
< 0.1%
7 41
 
< 0.1%
8 26
 
< 0.1%
9 24
 
< 0.1%
Other values (4) 22
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 61
 
< 0.1%
1 546045
92.5%
2 36778
 
6.2%
3 4856
 
0.8%
4 2004
 
0.3%
ValueCountFrequency (%)
13 2
 
< 0.1%
12 2
 
< 0.1%
11 5
 
< 0.1%
10 13
< 0.1%
9 24
< 0.1%

V125
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.050414587
Minimum0
Maximum13
Zeros175
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:33.746198image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2800369797
Coefficient of variation (CV)0.2665966211
Kurtosis146.8877439
Mean1.050414587
Median Absolute Deviation (MAD)0
Skewness8.995103854
Sum619982
Variance0.07842070998
MonotonicityNot monotonic
2024-11-14T14:14:33.917190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 565575
95.8%
2 20819
 
3.5%
3 2567
 
0.4%
4 774
 
0.1%
0 175
 
< 0.1%
5 152
 
< 0.1%
6 68
 
< 0.1%
7 35
 
< 0.1%
8 24
 
< 0.1%
9 17
 
< 0.1%
Other values (4) 20
 
< 0.1%
(Missing) 314
 
0.1%
ValueCountFrequency (%)
0 175
 
< 0.1%
1 565575
95.8%
2 20819
 
3.5%
3 2567
 
0.4%
4 774
 
0.1%
ValueCountFrequency (%)
13 2
 
< 0.1%
12 2
 
< 0.1%
11 4
 
< 0.1%
10 12
< 0.1%
9 17
< 0.1%

V126
Real number (ℝ)

SKEWED  ZEROS 

Distinct10299
Distinct (%)1.7%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean129.9794171
Minimum0
Maximum160000
Zeros510542
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:34.091191image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile184.9499969
Maximum160000
Range160000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2346.951681
Coefficient of variation (CV)18.05633333
Kurtosis963.1818523
Mean129.9794171
Median Absolute Deviation (MAD)0
Skewness29.5816565
Sum76717231.44
Variance5508182.195
MonotonicityNot monotonic
2024-11-14T14:14:34.296190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 510542
86.5%
117 3407
 
0.6%
59 3312
 
0.6%
100 2248
 
0.4%
49 1753
 
0.3%
226 1494
 
0.3%
107.9499969 1475
 
0.2%
50 1460
 
0.2%
57.95000076 1437
 
0.2%
200 1434
 
0.2%
Other values (10289) 61664
 
10.4%
ValueCountFrequency (%)
0 510542
86.5%
0.2915000021 1
 
< 0.1%
0.423999995 1
 
< 0.1%
0.466899991 2
 
< 0.1%
0.7547000051 1
 
< 0.1%
ValueCountFrequency (%)
160000 1
< 0.1%
108800 1
< 0.1%
94901 1
< 0.1%
94795 1
< 0.1%
94689 1
< 0.1%

V127
Real number (ℝ)

SKEWED  ZEROS 

Distinct24414
Distinct (%)4.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean336.6115585
Minimum0
Maximum160000
Zeros366578
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:34.487422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3107.9499969
95-th percentile720
Maximum160000
Range160000
Interquartile range (IQR)107.9499969

Descriptive statistics

Standard deviation4238.666949
Coefficient of variation (CV)12.59216103
Kurtosis715.2522331
Mean336.6115585
Median Absolute Deviation (MAD)0
Skewness25.68386796
Sum198676893.7
Variance17966297.5
MonotonicityNot monotonic
2024-11-14T14:14:34.690430image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 366578
62.1%
107.9499969 5850
 
1.0%
57.95000076 5303
 
0.9%
59 5152
 
0.9%
117 5134
 
0.9%
100 3193
 
0.5%
49 2569
 
0.4%
50 2247
 
0.4%
226 2147
 
0.4%
47.95000076 2081
 
0.4%
Other values (24404) 189972
32.2%
ValueCountFrequency (%)
0 366578
62.1%
0.2915000021 1
 
< 0.1%
0.423999995 1
 
< 0.1%
0.466899991 2
 
< 0.1%
0.7547000051 1
 
< 0.1%
ValueCountFrequency (%)
160000 1
< 0.1%
146252 1
< 0.1%
146211 1
< 0.1%
146127 1
< 0.1%
146105 1
< 0.1%

V128
Real number (ℝ)

SKEWED  ZEROS 

Distinct14507
Distinct (%)2.5%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean204.0940384
Minimum0
Maximum160000
Zeros454213
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:34.909455image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile351
Maximum160000
Range160000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3010.258774
Coefficient of variation (CV)14.74937141
Kurtosis682.5248055
Mean204.0940384
Median Absolute Deviation (MAD)0
Skewness25.05184572
Sum120461607.9
Variance9061657.888
MonotonicityNot monotonic
2024-11-14T14:14:35.109638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 454213
76.9%
117 5259
 
0.9%
59 5120
 
0.9%
57.95000076 3345
 
0.6%
107.9499969 2846
 
0.5%
100 2582
 
0.4%
49 2579
 
0.4%
226 2152
 
0.4%
50 1826
 
0.3%
39 1787
 
0.3%
Other values (14497) 108517
 
18.4%
ValueCountFrequency (%)
0 454213
76.9%
0.2915000021 1
 
< 0.1%
0.423999995 1
 
< 0.1%
0.466899991 2
 
< 0.1%
0.7547000051 1
 
< 0.1%
ValueCountFrequency (%)
160000 1
< 0.1%
108800 1
< 0.1%
103495 1
< 0.1%
103439 1
< 0.1%
103383 1
< 0.1%

V129
Real number (ℝ)

SKEWED  ZEROS 

Distinct1968
Distinct (%)0.3%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean8.768944125
Minimum0
Maximum55125
Zeros558622
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:35.305643image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile29
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation113.8328282
Coefficient of variation (CV)12.98136087
Kurtosis102763.1368
Mean8.768944125
Median Absolute Deviation (MAD)0
Skewness240.2742526
Sum5175658.815
Variance12957.91277
MonotonicityNot monotonic
2024-11-14T14:14:35.490648image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 558622
94.6%
59 2500
 
0.4%
117 2316
 
0.4%
49 1311
 
0.2%
39 966
 
0.2%
226 882
 
0.1%
107.9499969 833
 
0.1%
57.95000076 832
 
0.1%
29 829
 
0.1%
77 694
 
0.1%
Other values (1958) 20441
 
3.5%
ValueCountFrequency (%)
0 558622
94.6%
1 2
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
3.314599991 1
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12500 1
< 0.1%
12307.5 2
< 0.1%
11000 1
< 0.1%

V130
Real number (ℝ)

SKEWED  ZEROS 

Distinct12332
Distinct (%)2.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean92.16584942
Minimum0
Maximum55125
Zeros403766
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:35.689640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q359
95-th percentile445
Maximum55125
Range55125
Interquartile range (IQR)59

Descriptive statistics

Standard deviation315.9604848
Coefficient of variation (CV)3.42817309
Kurtosis2817.131024
Mean92.16584942
Median Absolute Deviation (MAD)0
Skewness26.29562755
Sum54398680.64
Variance99831.02796
MonotonicityNot monotonic
2024-11-14T14:14:35.881636image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 403766
68.4%
107.9499969 5902
 
1.0%
59 5410
 
0.9%
117 5287
 
0.9%
57.95000076 5264
 
0.9%
49 2775
 
0.5%
226 2197
 
0.4%
47.95000076 2095
 
0.4%
35.95000076 1882
 
0.3%
39 1808
 
0.3%
Other values (12322) 153840
 
26.1%
ValueCountFrequency (%)
0 403766
68.4%
1 2
 
< 0.1%
2 3
 
< 0.1%
2.53760004 1
 
< 0.1%
3 2
 
< 0.1%
ValueCountFrequency (%)
55125 1
 
< 0.1%
41690 1
 
< 0.1%
30250 4
< 0.1%
25600 1
 
< 0.1%
17600 1
 
< 0.1%

V131
Real number (ℝ)

SKEWED  ZEROS 

Distinct4444
Distinct (%)0.8%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean31.13330217
Minimum0
Maximum55125
Zeros496523
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:36.071632image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile171
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation161.1612577
Coefficient of variation (CV)5.176490974
Kurtosis25682.08717
Mean31.13330217
Median Absolute Deviation (MAD)0
Skewness89.5953506
Sum18375684.41
Variance25972.95098
MonotonicityNot monotonic
2024-11-14T14:14:36.238190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 496523
84.1%
59 5243
 
0.9%
117 5162
 
0.9%
57.95000076 2958
 
0.5%
49 2611
 
0.4%
107.9499969 2385
 
0.4%
226 2024
 
0.3%
39 1905
 
0.3%
29 1582
 
0.3%
171 1321
 
0.2%
Other values (4434) 68512
 
11.6%
ValueCountFrequency (%)
0 496523
84.1%
1 2
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
3.314599991 1
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12500 2
< 0.1%
12307.5 2
< 0.1%
11000 1
< 0.1%

V132
Real number (ℝ)

SKEWED  ZEROS 

Distinct6560
Distinct (%)1.1%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean103.5131885
Minimum0
Maximum93736
Zeros556214
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:36.476627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile45
Maximum93736
Range93736
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2266.10614
Coefficient of variation (CV)21.89195573
Kurtosis987.293856
Mean103.5131885
Median Absolute Deviation (MAD)0
Skewness30.23144863
Sum61096175.19
Variance5135237.037
MonotonicityNot monotonic
2024-11-14T14:14:36.655603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 556214
94.2%
117 1453
 
0.2%
59 1281
 
0.2%
100 902
 
0.2%
49 741
 
0.1%
226 664
 
0.1%
50 641
 
0.1%
200 566
 
0.1%
150 546
 
0.1%
171 487
 
0.1%
Other values (6550) 26731
 
4.5%
ValueCountFrequency (%)
0 556214
94.2%
0.2915000021 1
 
< 0.1%
0.423999995 1
 
< 0.1%
0.466899991 2
 
< 0.1%
0.7547000051 1
 
< 0.1%
ValueCountFrequency (%)
93736 1
< 0.1%
93630 1
< 0.1%
93524 1
< 0.1%
93418 1
< 0.1%
93312 1
< 0.1%

V133
Real number (ℝ)

SKEWED  ZEROS 

Distinct9949
Distinct (%)1.7%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean204.8891598
Minimum0
Maximum133915
Zeros535961
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:36.868600image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile169.9499969
Maximum133915
Range133915
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3796.316755
Coefficient of variation (CV)18.52863645
Kurtosis775.955584
Mean204.8891598
Median Absolute Deviation (MAD)0
Skewness26.8642346
Sum120930909.2
Variance14412020.9
MonotonicityNot monotonic
2024-11-14T14:14:37.074093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 535961
90.8%
117 1888
 
0.3%
59 1642
 
0.3%
100 963
 
0.2%
226 869
 
0.1%
49 839
 
0.1%
50 700
 
0.1%
171 621
 
0.1%
200 611
 
0.1%
150 592
 
0.1%
Other values (9939) 45540
 
7.7%
ValueCountFrequency (%)
0 535961
90.8%
0.2915000021 1
 
< 0.1%
0.423999995 1
 
< 0.1%
0.466899991 2
 
< 0.1%
0.7547000051 1
 
< 0.1%
ValueCountFrequency (%)
133915 17
< 0.1%
133885 1
 
< 0.1%
133855 1
 
< 0.1%
133825 1
 
< 0.1%
133769 1
 
< 0.1%

V134
Real number (ℝ)

SKEWED  ZEROS 

Distinct8178
Distinct (%)1.4%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean145.9723275
Minimum0
Maximum98476
Zeros547743
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:37.263844image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile97
Maximum98476
Range98476
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2772.986817
Coefficient of variation (CV)18.99666097
Kurtosis728.930632
Mean145.9723275
Median Absolute Deviation (MAD)0
Skewness25.98806685
Sum86156663
Variance7689455.887
MonotonicityNot monotonic
2024-11-14T14:14:37.434832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 547743
92.8%
117 1654
 
0.3%
59 1397
 
0.2%
100 930
 
0.2%
49 759
 
0.1%
226 752
 
0.1%
50 661
 
0.1%
200 586
 
0.1%
150 575
 
0.1%
171 534
 
0.1%
Other values (8168) 34635
 
5.9%
ValueCountFrequency (%)
0 547743
92.8%
0.2915000021 1
 
< 0.1%
0.423999995 1
 
< 0.1%
0.466899991 2
 
< 0.1%
0.7547000051 1
 
< 0.1%
ValueCountFrequency (%)
98476 1
< 0.1%
98420 1
< 0.1%
98364 1
< 0.1%
98308 1
< 0.1%
98252 1
< 0.1%

V135
Real number (ℝ)

SKEWED  ZEROS 

Distinct3724
Distinct (%)0.6%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean17.25013218
Minimum0
Maximum90750
Zeros563527
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:37.595842image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum90750
Range90750
Interquartile range (IQR)0

Descriptive statistics

Standard deviation293.8475632
Coefficient of variation (CV)17.03451082
Kurtosis31814.57234
Mean17.25013218
Median Absolute Deviation (MAD)0
Skewness144.8831816
Sum10181476.51
Variance86346.3904
MonotonicityNot monotonic
2024-11-14T14:14:38.278838image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 563527
95.4%
100 1206
 
0.2%
1165 870
 
0.1%
117 839
 
0.1%
200 807
 
0.1%
59 691
 
0.1%
50 616
 
0.1%
150 597
 
0.1%
107.9499969 577
 
0.1%
57.95000076 521
 
0.1%
Other values (3714) 19975
 
3.4%
ValueCountFrequency (%)
0 563527
95.4%
2.151799917 2
 
< 0.1%
2.296000004 1
 
< 0.1%
2.336199999 1
 
< 0.1%
2.58220005 1
 
< 0.1%
ValueCountFrequency (%)
90750 1
 
< 0.1%
64800 1
 
< 0.1%
60500 1
 
< 0.1%
52030 1
 
< 0.1%
51200 3
< 0.1%

V136
Real number (ℝ)

SKEWED  ZEROS 

Distinct4852
Distinct (%)0.8%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean38.82119582
Minimum0
Maximum90750
Zeros547750
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:38.505841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile77
Maximum90750
Range90750
Interquartile range (IQR)0

Descriptive statistics

Standard deviation451.8084114
Coefficient of variation (CV)11.63818893
Kurtosis5840.173921
Mean38.82119582
Median Absolute Deviation (MAD)0
Skewness49.02204693
Sum22913279.13
Variance204130.8406
MonotonicityNot monotonic
2024-11-14T14:14:38.660837image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 547750
92.8%
100 1343
 
0.2%
117 1311
 
0.2%
59 1197
 
0.2%
107.9499969 968
 
0.2%
57.95000076 925
 
0.2%
7709 871
 
0.1%
200 866
 
0.1%
226 750
 
0.1%
50 745
 
0.1%
Other values (4842) 33500
 
5.7%
ValueCountFrequency (%)
0 547750
92.8%
2.151799917 2
 
< 0.1%
2.296000004 1
 
< 0.1%
2.336199999 1
 
< 0.1%
2.58220005 1
 
< 0.1%
ValueCountFrequency (%)
90750 1
 
< 0.1%
64800 1
 
< 0.1%
60500 1
 
< 0.1%
52030 1
 
< 0.1%
51200 3
< 0.1%

V137
Real number (ℝ)

SKEWED  ZEROS 

Distinct4252
Distinct (%)0.7%
Missing314
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean26.36508984
Minimum0
Maximum90750
Zeros558074
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:38.820841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30.95000076
Maximum90750
Range90750
Interquartile range (IQR)0

Descriptive statistics

Standard deviation348.3327138
Coefficient of variation (CV)13.21189178
Kurtosis16157.96152
Mean26.36508984
Median Absolute Deviation (MAD)0
Skewness90.58311943
Sum15561361.52
Variance121335.6795
MonotonicityNot monotonic
2024-11-14T14:14:38.985841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 558074
94.5%
100 1275
 
0.2%
117 1050
 
0.2%
59 896
 
0.2%
200 818
 
0.1%
107.9499969 677
 
0.1%
50 661
 
0.1%
150 628
 
0.1%
57.95000076 607
 
0.1%
226 601
 
0.1%
Other values (4242) 24939
 
4.2%
ValueCountFrequency (%)
0 558074
94.5%
2.151799917 2
 
< 0.1%
2.296000004 1
 
< 0.1%
2.336199999 1
 
< 0.1%
2.58220005 1
 
< 0.1%
ValueCountFrequency (%)
90750 1
 
< 0.1%
64800 1
 
< 0.1%
60500 1
 
< 0.1%
52030 1
 
< 0.1%
51200 3
< 0.1%

V138
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.03643907499
Minimum0
Maximum22
Zeros80610
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:39.137841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4284896149
Coefficient of variation (CV)11.75906949
Kurtosis706.170805
Mean0.03643907499
Median Absolute Deviation (MAD)0
Skewness22.57568789
Sum2986
Variance0.1836033501
MonotonicityNot monotonic
2024-11-14T14:14:39.320785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 80610
 
13.7%
1 811
 
0.1%
2 195
 
< 0.1%
3 117
 
< 0.1%
4 75
 
< 0.1%
5 31
 
< 0.1%
6 28
 
< 0.1%
8 23
 
< 0.1%
7 16
 
< 0.1%
15 7
 
< 0.1%
Other values (13) 32
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 80610
13.7%
1 811
 
0.1%
2 195
 
< 0.1%
3 117
 
< 0.1%
4 75
 
< 0.1%
ValueCountFrequency (%)
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%
19 1
< 0.1%
18 1
< 0.1%

V139
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean1.073915431
Minimum0
Maximum33
Zeros21848
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:39.450080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum33
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.333923874
Coefficient of variation (CV)1.242112587
Kurtosis70.15908544
Mean1.073915431
Median Absolute Deviation (MAD)0
Skewness5.913935271
Sum88002
Variance1.779352902
MonotonicityNot monotonic
2024-11-14T14:14:39.598068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 47430
 
8.0%
0 21848
 
3.7%
2 6522
 
1.1%
3 2793
 
0.5%
4 1455
 
0.2%
5 868
 
0.1%
6 392
 
0.1%
7 196
 
< 0.1%
8 113
 
< 0.1%
9 81
 
< 0.1%
Other values (24) 247
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 21848
3.7%
1 47430
8.0%
2 6522
 
1.1%
3 2793
 
0.5%
4 1455
 
0.2%
ValueCountFrequency (%)
33 1
< 0.1%
32 1
< 0.1%
31 1
< 0.1%
30 1
< 0.1%
29 1
< 0.1%

V140
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean1.125266947
Minimum0
Maximum33
Zeros21825
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:39.742060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum33
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.467849727
Coefficient of variation (CV)1.304445786
Kurtosis57.64554818
Mean1.125266947
Median Absolute Deviation (MAD)0
Skewness5.580744362
Sum92210
Variance2.154582822
MonotonicityNot monotonic
2024-11-14T14:14:39.910813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 46598
 
7.9%
0 21825
 
3.7%
2 6650
 
1.1%
3 2920
 
0.5%
4 1580
 
0.3%
5 898
 
0.2%
6 561
 
0.1%
7 267
 
< 0.1%
8 167
 
< 0.1%
9 116
 
< 0.1%
Other values (24) 363
 
0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 21825
3.7%
1 46598
7.9%
2 6650
 
1.1%
3 2920
 
0.5%
4 1580
 
0.3%
ValueCountFrequency (%)
33 1
< 0.1%
32 1
< 0.1%
31 1
< 0.1%
30 1
< 0.1%
29 1
< 0.1%

V141
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.03769601562
Minimum0
Maximum5
Zeros79211
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:40.082825image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2151332207
Coefficient of variation (CV)5.707054636
Kurtosis57.36111078
Mean0.03769601562
Median Absolute Deviation (MAD)0
Skewness6.748153342
Sum3089
Variance0.04628230264
MonotonicityNot monotonic
2024-11-14T14:14:40.231817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 79211
 
13.4%
1 2426
 
0.4%
2 267
 
< 0.1%
3 37
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 79211
13.4%
1 2426
 
0.4%
2 267
 
< 0.1%
3 37
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 2
 
< 0.1%
3 37
 
< 0.1%
2 267
 
< 0.1%
1 2426
0.4%

V142
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.04858136555
Minimum0
Maximum9
Zeros79152
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:40.400818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3138881855
Coefficient of variation (CV)6.461081981
Kurtosis139.0167281
Mean0.04858136555
Median Absolute Deviation (MAD)0
Skewness9.991111247
Sum3981
Variance0.09852579303
MonotonicityNot monotonic
2024-11-14T14:14:40.542824image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 79152
 
13.4%
1 2161
 
0.4%
2 323
 
0.1%
3 154
 
< 0.1%
4 95
 
< 0.1%
5 43
 
< 0.1%
6 11
 
< 0.1%
9 4
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 79152
13.4%
1 2161
 
0.4%
2 323
 
0.1%
3 154
 
< 0.1%
4 95
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 11
 
< 0.1%
5 43
< 0.1%

V143
Real number (ℝ)

MISSING  ZEROS 

Distinct870
Distinct (%)1.1%
Missing508589
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean8.397005528
Minimum0
Maximum869
Zeros63872
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:40.738826image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28
Maximum869
Range869
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.26754522
Coefficient of variation (CV)6.581815987
Kurtosis132.0607694
Mean8.397005528
Median Absolute Deviation (MAD)0
Skewness10.99931783
Sum688143
Variance3054.501555
MonotonicityNot monotonic
2024-11-14T14:14:40.937823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63872
 
10.8%
1 3767
 
0.6%
2 1884
 
0.3%
3 1032
 
0.2%
4 709
 
0.1%
28 584
 
0.1%
13 516
 
0.1%
30 417
 
0.1%
24 409
 
0.1%
5 380
 
0.1%
Other values (860) 8381
 
1.4%
(Missing) 508589
86.1%
ValueCountFrequency (%)
0 63872
10.8%
1 3767
 
0.6%
2 1884
 
0.3%
3 1032
 
0.2%
4 709
 
0.1%
ValueCountFrequency (%)
869 1
< 0.1%
868 1
< 0.1%
867 1
< 0.1%
866 1
< 0.1%
865 1
< 0.1%

V144
Real number (ℝ)

MISSING  ZEROS 

Distinct63
Distinct (%)0.1%
Missing508589
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean3.708484338
Minimum0
Maximum62
Zeros62439
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:41.149821image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile34
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.4856331
Coefficient of variation (CV)2.827471317
Kurtosis8.817004069
Mean3.708484338
Median Absolute Deviation (MAD)0
Skewness3.110944594
Sum303914
Variance109.9485014
MonotonicityNot monotonic
2024-11-14T14:14:41.384814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62439
 
10.6%
1 5418
 
0.9%
2 2073
 
0.4%
11 1089
 
0.2%
3 1054
 
0.2%
4 600
 
0.1%
15 435
 
0.1%
5 365
 
0.1%
40 364
 
0.1%
39 353
 
0.1%
Other values (53) 7761
 
1.3%
(Missing) 508589
86.1%
ValueCountFrequency (%)
0 62439
10.6%
1 5418
 
0.9%
2 2073
 
0.4%
3 1054
 
0.2%
4 600
 
0.1%
ValueCountFrequency (%)
62 8
 
< 0.1%
61 23
< 0.1%
60 11
< 0.1%
59 5
 
< 0.1%
58 4
 
< 0.1%

V145
Real number (ℝ)

MISSING  ZEROS 

Distinct260
Distinct (%)0.3%
Missing508589
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean22.11294554
Minimum0
Maximum297
Zeros61241
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:41.612068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile203
Maximum297
Range297
Interquartile range (IQR)1

Descriptive statistics

Standard deviation64.3718598
Coefficient of variation (CV)2.911048629
Kurtosis7.922472108
Mean22.11294554
Median Absolute Deviation (MAD)0
Skewness3.016174641
Sum1812178
Variance4143.736334
MonotonicityNot monotonic
2024-11-14T14:14:41.817063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61241
 
10.4%
1 4958
 
0.8%
2 1847
 
0.3%
3 832
 
0.1%
35 429
 
0.1%
4 367
 
0.1%
142 244
 
< 0.1%
143 241
 
< 0.1%
39 231
 
< 0.1%
5 212
 
< 0.1%
Other values (250) 11349
 
1.9%
(Missing) 508589
86.1%
ValueCountFrequency (%)
0 61241
10.4%
1 4958
 
0.8%
2 1847
 
0.3%
3 832
 
0.1%
4 367
 
0.1%
ValueCountFrequency (%)
297 7
 
< 0.1%
296 67
< 0.1%
295 47
< 0.1%
294 47
< 0.1%
293 39
< 0.1%

V146
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.1562755507
Minimum0
Maximum24
Zeros74718
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:41.996091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6823275022
Coefficient of variation (CV)4.366182037
Kurtosis190.4744274
Mean0.1562755507
Median Absolute Deviation (MAD)0
Skewness9.972515637
Sum12806
Variance0.4655708203
MonotonicityNot monotonic
2024-11-14T14:14:42.197069image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 74718
 
12.7%
1 4390
 
0.7%
2 1605
 
0.3%
3 665
 
0.1%
4 263
 
< 0.1%
5 143
 
< 0.1%
6 56
 
< 0.1%
11 25
 
< 0.1%
7 25
 
< 0.1%
8 23
 
< 0.1%
Other values (15) 32
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 74718
12.7%
1 4390
 
0.7%
2 1605
 
0.3%
3 665
 
0.1%
4 263
 
< 0.1%
ValueCountFrequency (%)
24 3
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%

V147
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.1686008908
Minimum0
Maximum26
Zeros74531
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:42.370062image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7504970049
Coefficient of variation (CV)4.451322891
Kurtosis171.942537
Mean0.1686008908
Median Absolute Deviation (MAD)0
Skewness9.942018259
Sum13816
Variance0.5632457543
MonotonicityNot monotonic
2024-11-14T14:14:42.517090image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 74531
 
12.6%
1 4396
 
0.7%
2 1656
 
0.3%
3 693
 
0.1%
4 286
 
< 0.1%
5 150
 
< 0.1%
6 66
 
< 0.1%
7 38
 
< 0.1%
11 38
 
< 0.1%
8 34
 
< 0.1%
Other values (17) 57
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 74531
12.6%
1 4396
 
0.7%
2 1656
 
0.3%
3 693
 
0.1%
4 286
 
< 0.1%
ValueCountFrequency (%)
26 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%

V148
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7650009152
Minimum0
Maximum20
Zeros21848
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:42.675064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5814254323
Coefficient of variation (CV)0.7600323356
Kurtosis153.9178737
Mean0.7650009152
Median Absolute Deviation (MAD)0
Skewness6.014020744
Sum62688
Variance0.3380555334
MonotonicityNot monotonic
2024-11-14T14:14:42.883067image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 58650
 
9.9%
0 21848
 
3.7%
2 962
 
0.2%
3 267
 
< 0.1%
4 108
 
< 0.1%
5 45
 
< 0.1%
6 16
 
< 0.1%
7 11
 
< 0.1%
8 10
 
< 0.1%
20 4
 
< 0.1%
Other values (11) 24
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 21848
 
3.7%
1 58650
9.9%
2 962
 
0.2%
3 267
 
< 0.1%
4 108
 
< 0.1%
ValueCountFrequency (%)
20 4
< 0.1%
19 1
 
< 0.1%
18 1
 
< 0.1%
17 2
< 0.1%
16 3
< 0.1%

V149
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7753127097
Minimum0
Maximum20
Zeros21825
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:43.040079image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6281909426
Coefficient of variation (CV)0.8102420284
Kurtosis141.2413779
Mean0.7753127097
Median Absolute Deviation (MAD)0
Skewness6.552867448
Sum63533
Variance0.3946238603
MonotonicityNot monotonic
2024-11-14T14:14:43.186073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 58370
 
9.9%
0 21825
 
3.7%
2 1115
 
0.2%
3 298
 
0.1%
4 156
 
< 0.1%
5 60
 
< 0.1%
6 38
 
< 0.1%
7 21
 
< 0.1%
8 16
 
< 0.1%
9 7
 
< 0.1%
Other values (11) 39
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 21825
 
3.7%
1 58370
9.9%
2 1115
 
0.2%
3 298
 
0.1%
4 156
 
< 0.1%
ValueCountFrequency (%)
20 4
< 0.1%
19 1
 
< 0.1%
18 1
 
< 0.1%
17 2
< 0.1%
16 3
< 0.1%

V150
Real number (ℝ)

MISSING 

Distinct1996
Distinct (%)2.4%
Missing508589
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean277.5980281
Minimum1
Maximum3389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:43.369075image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2819
Maximum3389
Range3388
Interquartile range (IQR)0

Descriptive statistics

Standard deviation829.5769225
Coefficient of variation (CV)2.988410718
Kurtosis6.488538266
Mean277.5980281
Median Absolute Deviation (MAD)0
Skewness2.8469002
Sum22749436
Variance688197.8703
MonotonicityNot monotonic
2024-11-14T14:14:43.534076image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 67559
 
11.4%
2 2663
 
0.5%
3 462
 
0.1%
4 207
 
< 0.1%
5 98
 
< 0.1%
97 96
 
< 0.1%
98 83
 
< 0.1%
100 77
 
< 0.1%
95 74
 
< 0.1%
96 74
 
< 0.1%
Other values (1986) 10558
 
1.8%
(Missing) 508589
86.1%
ValueCountFrequency (%)
1 67559
11.4%
2 2663
 
0.5%
3 462
 
0.1%
4 207
 
< 0.1%
5 98
 
< 0.1%
ValueCountFrequency (%)
3389 3
< 0.1%
3388 6
< 0.1%
3387 7
< 0.1%
3386 5
< 0.1%
3385 3
< 0.1%

V151
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)0.1%
Missing508589
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean6.460189626
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:43.729038image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile52
Maximum57
Range56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.23232404
Coefficient of variation (CV)2.357875686
Kurtosis4.929669459
Mean6.460189626
Median Absolute Deviation (MAD)0
Skewness2.600026158
Sum529419
Variance232.0236958
MonotonicityNot monotonic
2024-11-14T14:14:43.916007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 70098
 
11.9%
52 1770
 
0.3%
53 1483
 
0.3%
51 1087
 
0.2%
54 1067
 
0.2%
2 747
 
0.1%
50 621
 
0.1%
55 491
 
0.1%
49 401
 
0.1%
56 307
 
0.1%
Other values (46) 3879
 
0.7%
(Missing) 508589
86.1%
ValueCountFrequency (%)
1 70098
11.9%
2 747
 
0.1%
3 175
 
< 0.1%
4 70
 
< 0.1%
5 60
 
< 0.1%
ValueCountFrequency (%)
57 123
 
< 0.1%
56 307
 
0.1%
55 491
 
0.1%
54 1067
0.2%
53 1483
0.3%

V152
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)< 0.1%
Missing508589
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean9.43270979
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:44.080024image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile68
Maximum69
Range68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.5544864
Coefficient of variation (CV)2.28507893
Kurtosis2.900945646
Mean9.43270979
Median Absolute Deviation (MAD)0
Skewness2.202547957
Sum773020
Variance464.5958838
MonotonicityNot monotonic
2024-11-14T14:14:44.245024image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 68064
 
11.5%
68 4003
 
0.7%
2 2571
 
0.4%
65 1554
 
0.3%
64 1247
 
0.2%
67 1239
 
0.2%
66 428
 
0.1%
53 397
 
0.1%
69 380
 
0.1%
57 276
 
< 0.1%
Other values (29) 1792
 
0.3%
(Missing) 508589
86.1%
ValueCountFrequency (%)
1 68064
11.5%
2 2571
 
0.4%
3 272
 
< 0.1%
4 99
 
< 0.1%
5 59
 
< 0.1%
ValueCountFrequency (%)
69 380
 
0.1%
68 4003
0.7%
67 1239
 
0.2%
66 428
 
0.1%
65 1554
 
0.3%

V153
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7532003173
Minimum0
Maximum18
Zeros21848
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:44.410017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5326488255
Coefficient of variation (CV)0.7071808299
Kurtosis135.7032581
Mean0.7532003173
Median Absolute Deviation (MAD)0
Skewness4.702147648
Sum61721
Variance0.2837147713
MonotonicityNot monotonic
2024-11-14T14:14:44.550007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 59143
 
10.0%
0 21848
 
3.7%
2 667
 
0.1%
3 167
 
< 0.1%
4 60
 
< 0.1%
5 22
 
< 0.1%
6 16
 
< 0.1%
16 5
 
< 0.1%
18 4
 
< 0.1%
7 3
 
< 0.1%
Other values (9) 10
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 21848
 
3.7%
1 59143
10.0%
2 667
 
0.1%
3 167
 
< 0.1%
4 60
 
< 0.1%
ValueCountFrequency (%)
18 4
< 0.1%
17 1
 
< 0.1%
16 5
< 0.1%
15 2
 
< 0.1%
14 1
 
< 0.1%

V154
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7574226615
Minimum0
Maximum18
Zeros21825
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:44.683013image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5469070202
Coefficient of variation (CV)0.722063186
Kurtosis125.9878036
Mean0.7574226615
Median Absolute Deviation (MAD)0
Skewness4.760712192
Sum62067
Variance0.2991072887
MonotonicityNot monotonic
2024-11-14T14:14:44.821005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 59033
 
10.0%
0 21825
 
3.7%
2 712
 
0.1%
3 208
 
< 0.1%
4 81
 
< 0.1%
5 34
 
< 0.1%
6 20
 
< 0.1%
7 8
 
< 0.1%
8 6
 
< 0.1%
16 5
 
< 0.1%
Other values (9) 13
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 21825
 
3.7%
1 59033
10.0%
2 712
 
0.1%
3 208
 
< 0.1%
4 81
 
< 0.1%
ValueCountFrequency (%)
18 4
< 0.1%
17 1
 
< 0.1%
16 5
< 0.1%
15 2
 
< 0.1%
14 1
 
< 0.1%

V155
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7673805601
Minimum0
Maximum24
Zeros21848
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:44.959018image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6026784589
Coefficient of variation (CV)0.7853710273
Kurtosis239.8700931
Mean0.7673805601
Median Absolute Deviation (MAD)0
Skewness7.935434628
Sum62883
Variance0.3632213248
MonotonicityNot monotonic
2024-11-14T14:14:45.107023image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 58584
 
9.9%
0 21848
 
3.7%
2 991
 
0.2%
3 272
 
< 0.1%
4 129
 
< 0.1%
5 50
 
< 0.1%
6 18
 
< 0.1%
7 15
 
< 0.1%
8 9
 
< 0.1%
24 4
 
< 0.1%
Other values (15) 25
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 21848
 
3.7%
1 58584
9.9%
2 991
 
0.2%
3 272
 
< 0.1%
4 129
 
< 0.1%
ValueCountFrequency (%)
24 4
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%

V156
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7774848984
Minimum0
Maximum24
Zeros21825
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:45.254025image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6472089881
Coefficient of variation (CV)0.8324393045
Kurtosis206.8378762
Mean0.7774848984
Median Absolute Deviation (MAD)0
Skewness8.06313826
Sum63711
Variance0.4188794742
MonotonicityNot monotonic
2024-11-14T14:14:45.402012image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 58302
 
9.9%
0 21825
 
3.7%
2 1153
 
0.2%
3 302
 
0.1%
4 169
 
< 0.1%
5 76
 
< 0.1%
6 34
 
< 0.1%
7 21
 
< 0.1%
8 15
 
< 0.1%
9 8
 
< 0.1%
Other values (15) 40
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 21825
 
3.7%
1 58302
9.9%
2 1153
 
0.2%
3 302
 
0.1%
4 169
 
< 0.1%
ValueCountFrequency (%)
24 4
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%

V157
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.8175727622
Minimum0
Maximum24
Zeros21848
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:45.545024image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.682015873
Coefficient of variation (CV)0.8341959327
Kurtosis149.4211801
Mean0.8175727622
Median Absolute Deviation (MAD)0
Skewness6.129508085
Sum66996
Variance0.465145651
MonotonicityNot monotonic
2024-11-14T14:14:45.693032image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 55280
 
9.4%
0 21848
 
3.7%
2 3745
 
0.6%
3 664
 
0.1%
4 229
 
< 0.1%
5 80
 
< 0.1%
6 37
 
< 0.1%
7 24
 
< 0.1%
8 9
 
< 0.1%
24 4
 
< 0.1%
Other values (15) 25
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 21848
 
3.7%
1 55280
9.4%
2 3745
 
0.6%
3 664
 
0.1%
4 229
 
< 0.1%
ValueCountFrequency (%)
24 4
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%

V158
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.8334614681
Minimum0
Maximum24
Zeros21825
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:45.837006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7343359919
Coefficient of variation (CV)0.8810677158
Kurtosis128.308391
Mean0.8334614681
Median Absolute Deviation (MAD)0
Skewness6.225752294
Sum68298
Variance0.539249349
MonotonicityNot monotonic
2024-11-14T14:14:46.023950image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 54744
 
9.3%
0 21825
 
3.7%
2 4050
 
0.7%
3 762
 
0.1%
4 287
 
< 0.1%
5 113
 
< 0.1%
6 60
 
< 0.1%
7 34
 
< 0.1%
8 19
 
< 0.1%
9 10
 
< 0.1%
Other values (15) 41
 
< 0.1%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 21825
 
3.7%
1 54744
9.3%
2 4050
 
0.7%
3 762
 
0.1%
4 287
 
< 0.1%
ValueCountFrequency (%)
24 4
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%

V159
Real number (ℝ)

MISSING  ZEROS 

Distinct6663
Distinct (%)8.1%
Missing508589
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean2719.299775
Minimum0
Maximum55125
Zeros68397
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:46.177394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25706.96582
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8355.445049
Coefficient of variation (CV)3.072645806
Kurtosis8.115627468
Mean2719.299775
Median Absolute Deviation (MAD)0
Skewness3.046765147
Sum222849335.9
Variance69813461.97
MonotonicityNot monotonic
2024-11-14T14:14:46.335392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68397
 
11.6%
100 413
 
0.1%
50 230
 
< 0.1%
265 193
 
< 0.1%
25 172
 
< 0.1%
106 169
 
< 0.1%
20 156
 
< 0.1%
181 146
 
< 0.1%
10 115
 
< 0.1%
15 101
 
< 0.1%
Other values (6653) 11859
 
2.0%
(Missing) 508589
86.1%
ValueCountFrequency (%)
0 68397
11.6%
5 41
 
< 0.1%
6 5
 
< 0.1%
7 9
 
< 0.1%
8 19
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
44186.92969 1
< 0.1%
44116.92969 1
< 0.1%
44061.92969 1
< 0.1%
43986.92969 1
< 0.1%

V160
Real number (ℝ)

MISSING  ZEROS 

Distinct9621
Distinct (%)11.7%
Missing508589
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean47453.18117
Minimum0
Maximum641511.4375
Zeros63341
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:46.490390image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile459850.5
Maximum641511.4375
Range641511.4375
Interquartile range (IQR)0

Descriptive statistics

Standard deviation142076.0692
Coefficient of variation (CV)2.994026231
Kurtosis7.707719536
Mean47453.18117
Median Absolute Deviation (MAD)0
Skewness2.996929442
Sum3888835650
Variance2.018560943 × 1010
MonotonicityNot monotonic
2024-11-14T14:14:46.657394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63341
 
10.7%
2401 925
 
0.2%
50 560
 
0.1%
100 496
 
0.1%
1359 325
 
0.1%
25 260
 
< 0.1%
150 256
 
< 0.1%
200 225
 
< 0.1%
20 188
 
< 0.1%
75 181
 
< 0.1%
Other values (9611) 15194
 
2.6%
(Missing) 508589
86.1%
ValueCountFrequency (%)
0 63341
10.7%
5 26
 
< 0.1%
6 7
 
< 0.1%
7 10
 
< 0.1%
7.5 5
 
< 0.1%
ValueCountFrequency (%)
641511.4375 1
< 0.1%
641446.4375 1
< 0.1%
641411.4375 1
< 0.1%
641336.4375 1
< 0.1%
641316.4375 1
< 0.1%

V161
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct79
Distinct (%)0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean4.843938007
Minimum0
Maximum3300
Zeros79211
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:46.826403image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3300
Range3300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58.92975701
Coefficient of variation (CV)12.16567118
Kurtosis1461.456322
Mean4.843938007
Median Absolute Deviation (MAD)0
Skewness32.794023
Sum396936.5
Variance3472.716261
MonotonicityNot monotonic
2024-11-14T14:14:46.995392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 79211
 
13.4%
50 472
 
0.1%
100 366
 
0.1%
25 220
 
< 0.1%
150 161
 
< 0.1%
20 135
 
< 0.1%
200 135
 
< 0.1%
40 134
 
< 0.1%
30 112
 
< 0.1%
75 107
 
< 0.1%
Other values (69) 892
 
0.2%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 79211
13.4%
5 16
 
< 0.1%
7 13
 
< 0.1%
7.5 5
 
< 0.1%
8 2
 
< 0.1%
ValueCountFrequency (%)
3300 1
 
< 0.1%
3000 15
< 0.1%
2000 2
 
< 0.1%
1500 2
 
< 0.1%
1200 12
< 0.1%

V162
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct185
Distinct (%)0.2%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean6.594661053
Minimum0
Maximum3300
Zeros79008
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:47.156387image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3300
Range3300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation69.19518019
Coefficient of variation (CV)10.49260601
Kurtosis899.9147489
Mean6.594661053
Median Absolute Deviation (MAD)0
Skewness25.20236376
Sum540399.5
Variance4787.972961
MonotonicityNot monotonic
2024-11-14T14:14:47.313373image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 79008
 
13.4%
50 446
 
0.1%
100 349
 
0.1%
150 197
 
< 0.1%
25 181
 
< 0.1%
200 150
 
< 0.1%
75 107
 
< 0.1%
30 100
 
< 0.1%
20 96
 
< 0.1%
300 87
 
< 0.1%
Other values (175) 1224
 
0.2%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 79008
13.4%
5 14
 
< 0.1%
7 7
 
< 0.1%
7.5 5
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
3300 1
 
< 0.1%
3000 17
< 0.1%
2000 3
 
< 0.1%
1850 1
 
< 0.1%
1500 2
 
< 0.1%

V163
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct106
Distinct (%)0.1%
Missing508595
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean5.505955214
Minimum0
Maximum3300
Zeros79152
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:47.464381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3300
Range3300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63.07788671
Coefficient of variation (CV)11.45630218
Kurtosis1254.590334
Mean5.505955214
Median Absolute Deviation (MAD)0
Skewness30.28581667
Sum451185.5
Variance3978.819791
MonotonicityNot monotonic
2024-11-14T14:14:47.639402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 79152
 
13.4%
50 473
 
0.1%
100 353
 
0.1%
150 196
 
< 0.1%
25 187
 
< 0.1%
200 143
 
< 0.1%
20 108
 
< 0.1%
75 96
 
< 0.1%
30 94
 
< 0.1%
40 89
 
< 0.1%
Other values (96) 1054
 
0.2%
(Missing) 508595
86.1%
ValueCountFrequency (%)
0 79152
13.4%
5 14
 
< 0.1%
7 13
 
< 0.1%
7.5 5
 
< 0.1%
8 2
 
< 0.1%
ValueCountFrequency (%)
3300 1
 
< 0.1%
3000 17
< 0.1%
2000 3
 
< 0.1%
1500 2
 
< 0.1%
1200 12
< 0.1%

V164
Real number (ℝ)

MISSING  ZEROS 

Distinct1978
Distinct (%)2.4%
Missing508589
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean877.8889283
Minimum0
Maximum93736
Zeros63872
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:47.801392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2410
Maximum93736
Range93736
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6049.166505
Coefficient of variation (CV)6.890582977
Kurtosis131.3390359
Mean877.8889283
Median Absolute Deviation (MAD)0
Skewness11.02894169
Sum71943875.57
Variance36592415.41
MonotonicityNot monotonic
2024-11-14T14:14:47.973386image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63872
 
10.8%
100 982
 
0.2%
200 807
 
0.1%
150 679
 
0.1%
300 622
 
0.1%
50 592
 
0.1%
400 287
 
< 0.1%
450 276
 
< 0.1%
75 275
 
< 0.1%
600 271
 
< 0.1%
Other values (1968) 13288
 
2.3%
(Missing) 508589
86.1%
ValueCountFrequency (%)
0 63872
10.8%
5 13
 
< 0.1%
6 2
 
< 0.1%
8 2
 
< 0.1%
10 23
 
< 0.1%
ValueCountFrequency (%)
93736 1
< 0.1%
93630 1
< 0.1%
93524 1
< 0.1%
93418 1
< 0.1%
93312 1
< 0.1%

V165
Real number (ℝ)

MISSING  ZEROS 

Distinct2547
Distinct (%)3.1%
Missing508589
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean2239.912219
Minimum0
Maximum98476
Zeros62598
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:48.168271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14578.9502
Maximum98476
Range98476
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8223.258928
Coefficient of variation (CV)3.671241604
Kurtosis58.48258677
Mean2239.912219
Median Absolute Deviation (MAD)0
Skewness6.809082781
Sum183563046.3
Variance67621987.39
MonotonicityNot monotonic
2024-11-14T14:14:48.372034image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62598
 
10.6%
100 921
 
0.2%
200 672
 
0.1%
150 661
 
0.1%
300 596
 
0.1%
50 536
 
0.1%
400 267
 
< 0.1%
600 250
 
< 0.1%
75 228
 
< 0.1%
250 200
 
< 0.1%
Other values (2537) 15022
 
2.5%
(Missing) 508589
86.1%
ValueCountFrequency (%)
0 62598
10.6%
5 13
 
< 0.1%
6 2
 
< 0.1%
8 7
 
< 0.1%
10 30
 
< 0.1%
ValueCountFrequency (%)
98476 1
< 0.1%
98420 1
< 0.1%
98364 1
< 0.1%
98308 1
< 0.1%
98252 1
< 0.1%

V166
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct987
Distinct (%)1.2%
Missing508589
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean359.4694375
Minimum0
Maximum104060
Zeros62439
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:48.549022image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2785
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1244.46327
Coefficient of variation (CV)3.461944579
Kurtosis1787.371976
Mean359.4694375
Median Absolute Deviation (MAD)0
Skewness27.33191922
Sum29458879.87
Variance1548688.832
MonotonicityNot monotonic
2024-11-14T14:14:48.746035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62439
 
10.6%
100 1391
 
0.2%
200 1016
 
0.2%
1165 876
 
0.1%
150 736
 
0.1%
300 728
 
0.1%
50 625
 
0.1%
400 403
 
0.1%
500 363
 
0.1%
600 345
 
0.1%
Other values (977) 13029
 
2.2%
(Missing) 508589
86.1%
ValueCountFrequency (%)
0 62439
10.6%
5 16
 
< 0.1%
6 7
 
< 0.1%
7 3
 
< 0.1%
8 3
 
< 0.1%
ValueCountFrequency (%)
104060 1
< 0.1%
101640 1
< 0.1%
90750 1
< 0.1%
64800 1
< 0.1%
60500 1
< 0.1%

V167
Real number (ℝ)

MISSING  ZEROS 

Distinct873
Distinct (%)0.6%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean3.92951422
Minimum0
Maximum872
Zeros106161
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:48.917046image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum872
Range872
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.20098033
Coefficient of variation (CV)10.73949042
Kurtosis240.4072565
Mean3.92951422
Median Absolute Deviation (MAD)0
Skewness14.94856642
Sum548682
Variance1780.922741
MonotonicityNot monotonic
2024-11-14T14:14:49.096043image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 106161
 
18.0%
1 15561
 
2.6%
2 6854
 
1.2%
3 3592
 
0.6%
4 2047
 
0.3%
5 1106
 
0.2%
6 715
 
0.1%
7 494
 
0.1%
8 343
 
0.1%
9 259
 
< 0.1%
Other values (863) 2499
 
0.4%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 106161
18.0%
1 15561
 
2.6%
2 6854
 
1.2%
3 3592
 
0.6%
4 2047
 
0.3%
ValueCountFrequency (%)
872 1
< 0.1%
871 1
< 0.1%
870 1
< 0.1%
869 1
< 0.1%
868 1
< 0.1%

V168
Real number (ℝ)

MISSING  ZEROS 

Distinct965
Distinct (%)0.7%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean5.859501114
Minimum0
Maximum964
Zeros101660
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:49.286016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum964
Range964
Interquartile range (IQR)1

Descriptive statistics

Standard deviation54.03246812
Coefficient of variation (CV)9.221342751
Kurtosis169.2711691
Mean5.859501114
Median Absolute Deviation (MAD)0
Skewness12.49065343
Sum818168
Variance2919.507611
MonotonicityNot monotonic
2024-11-14T14:14:49.459029image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 101660
 
17.2%
1 16532
 
2.8%
2 7520
 
1.3%
3 4093
 
0.7%
4 2397
 
0.4%
5 1400
 
0.2%
6 943
 
0.2%
7 647
 
0.1%
8 476
 
0.1%
9 356
 
0.1%
Other values (955) 3607
 
0.6%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 101660
17.2%
1 16532
 
2.8%
2 7520
 
1.3%
3 4093
 
0.7%
4 2397
 
0.4%
ValueCountFrequency (%)
964 1
< 0.1%
963 1
< 0.1%
962 1
< 0.1%
961 1
< 0.1%
960 1
< 0.1%

V169
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.1680529828
Minimum0
Maximum19
Zeros130911
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:49.610395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9049439728
Coefficient of variation (CV)5.384873019
Kurtosis104.2786272
Mean0.1680529828
Median Absolute Deviation (MAD)0
Skewness8.840944956
Sum23497
Variance0.818923594
MonotonicityNot monotonic
2024-11-14T14:14:49.753034image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 130911
 
22.2%
1 4117
 
0.7%
2 1707
 
0.3%
3 1034
 
0.2%
4 702
 
0.1%
5 394
 
0.1%
6 333
 
0.1%
7 177
 
< 0.1%
8 112
 
< 0.1%
9 69
 
< 0.1%
Other values (10) 263
 
< 0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 130911
22.2%
1 4117
 
0.7%
2 1707
 
0.3%
3 1034
 
0.2%
4 702
 
0.1%
ValueCountFrequency (%)
19 1
 
< 0.1%
18 21
< 0.1%
17 4
 
< 0.1%
16 6
 
< 0.1%
15 25
< 0.1%

V170
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.436778979
Minimum0
Maximum48
Zeros9693
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:49.924654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.751142506
Coefficient of variation (CV)1.218797416
Kurtosis138.4824355
Mean1.436778979
Median Absolute Deviation (MAD)0
Skewness8.980014917
Sum200889
Variance3.066500077
MonotonicityNot monotonic
2024-11-14T14:14:50.091496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 101509
 
17.2%
2 14255
 
2.4%
0 9693
 
1.6%
3 6204
 
1.1%
4 3199
 
0.5%
5 1869
 
0.3%
6 879
 
0.1%
7 604
 
0.1%
8 406
 
0.1%
9 264
 
< 0.1%
Other values (39) 937
 
0.2%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 9693
 
1.6%
1 101509
17.2%
2 14255
 
2.4%
3 6204
 
1.1%
4 3199
 
0.5%
ValueCountFrequency (%)
48 1
< 0.1%
47 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%
44 2
< 0.1%

V171
Real number (ℝ)

MISSING  ZEROS 

Distinct62
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.69090753
Minimum0
Maximum61
Zeros9579
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:50.250508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile5
Maximum61
Range61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.444747616
Coefficient of variation (CV)1.445819817
Kurtosis74.82807016
Mean1.69090753
Median Absolute Deviation (MAD)0
Skewness6.724036497
Sum236421
Variance5.976790905
MonotonicityNot monotonic
2024-11-14T14:14:50.460493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 96818
 
16.4%
2 15088
 
2.6%
0 9579
 
1.6%
3 6802
 
1.2%
4 3644
 
0.6%
5 2099
 
0.4%
14 1425
 
0.2%
6 1264
 
0.2%
7 727
 
0.1%
8 565
 
0.1%
Other values (52) 1808
 
0.3%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 9579
 
1.6%
1 96818
16.4%
2 15088
 
2.6%
3 6802
 
1.2%
4 3644
 
0.6%
ValueCountFrequency (%)
61 1
< 0.1%
60 1
< 0.1%
59 1
< 0.1%
58 1
< 0.1%
57 1
< 0.1%

V172
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean0.1320122322
Minimum0
Maximum31
Zeros128800
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:50.609880image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9248943084
Coefficient of variation (CV)7.006125816
Kurtosis480.4091075
Mean0.1320122322
Median Absolute Deviation (MAD)0
Skewness19.56693573
Sum18433
Variance0.8554294817
MonotonicityNot monotonic
2024-11-14T14:14:50.761891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 128800
 
21.8%
1 8698
 
1.5%
2 1361
 
0.2%
3 265
 
< 0.1%
4 63
 
< 0.1%
7 48
 
< 0.1%
5 46
 
< 0.1%
6 39
 
< 0.1%
11 26
 
< 0.1%
12 25
 
< 0.1%
Other values (22) 260
 
< 0.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 128800
21.8%
1 8698
 
1.5%
2 1361
 
0.2%
3 265
 
< 0.1%
4 63
 
< 0.1%
ValueCountFrequency (%)
31 1
 
< 0.1%
30 3
 
< 0.1%
29 8
< 0.1%
28 15
< 0.1%
27 16
< 0.1%

V173
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean0.05523128818
Minimum0
Maximum7
Zeros132868
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:50.896884image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2644391598
Coefficient of variation (CV)4.787850664
Kurtosis56.64341705
Mean0.05523128818
Median Absolute Deviation (MAD)0
Skewness6.199406193
Sum7712
Variance0.06992806922
MonotonicityNot monotonic
2024-11-14T14:14:51.038622image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 132868
 
22.5%
1 6020
 
1.0%
2 589
 
0.1%
3 124
 
< 0.1%
4 17
 
< 0.1%
6 7
 
< 0.1%
5 5
 
< 0.1%
7 1
 
< 0.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 132868
22.5%
1 6020
 
1.0%
2 589
 
0.1%
3 124
 
< 0.1%
4 17
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 7
 
< 0.1%
5 5
 
< 0.1%
4 17
 
< 0.1%
3 124
< 0.1%

V174
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.1277937905
Minimum0
Maximum8
Zeros123863
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:51.164624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3797633533
Coefficient of variation (CV)2.971688622
Kurtosis17.36234343
Mean0.1277937905
Median Absolute Deviation (MAD)0
Skewness3.492904028
Sum17868
Variance0.1442202045
MonotonicityNot monotonic
2024-11-14T14:14:51.303102image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 123863
 
21.0%
1 14337
 
2.4%
2 1373
 
0.2%
3 220
 
< 0.1%
4 15
 
< 0.1%
5 6
 
< 0.1%
6 2
 
< 0.1%
8 2
 
< 0.1%
7 1
 
< 0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 123863
21.0%
1 14337
 
2.4%
2 1373
 
0.2%
3 220
 
< 0.1%
4 15
 
< 0.1%
ValueCountFrequency (%)
8 2
 
< 0.1%
7 1
 
< 0.1%
6 2
 
< 0.1%
5 6
 
< 0.1%
4 15
< 0.1%

V175
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.2126391978
Minimum0
Maximum14
Zeros123575
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:51.444091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.857132825
Coefficient of variation (CV)4.030925783
Kurtosis47.52481626
Mean0.2126391978
Median Absolute Deviation (MAD)0
Skewness6.445381907
Sum29731
Variance0.7346766798
MonotonicityNot monotonic
2024-11-14T14:14:51.570094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 123575
 
20.9%
1 11962
 
2.0%
2 1866
 
0.3%
7 1350
 
0.2%
3 537
 
0.1%
4 212
 
< 0.1%
5 116
 
< 0.1%
6 71
 
< 0.1%
8 64
 
< 0.1%
9 60
 
< 0.1%
Other values (5) 6
 
< 0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 123575
20.9%
1 11962
 
2.0%
2 1866
 
0.3%
3 537
 
0.1%
4 212
 
< 0.1%
ValueCountFrequency (%)
14 1
< 0.1%
13 1
< 0.1%
12 1
< 0.1%
11 1
< 0.1%
10 2
< 0.1%

V176
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean1.376979324
Minimum0
Maximum48
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:51.753086image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.829420029
Coefficient of variation (CV)1.328574799
Kurtosis202.625203
Mean1.376979324
Median Absolute Deviation (MAD)0
Skewness12.14457855
Sum192269
Variance3.346777643
MonotonicityNot monotonic
2024-11-14T14:14:51.933103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 120220
 
20.4%
2 10616
 
1.8%
3 3595
 
0.6%
4 1770
 
0.3%
5 995
 
0.2%
6 603
 
0.1%
7 405
 
0.1%
8 269
 
< 0.1%
9 184
 
< 0.1%
10 142
 
< 0.1%
Other values (39) 832
 
0.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 17
 
< 0.1%
1 120220
20.4%
2 10616
 
1.8%
3 3595
 
0.6%
4 1770
 
0.3%
ValueCountFrequency (%)
48 2
 
< 0.1%
47 6
< 0.1%
46 6
< 0.1%
45 3
< 0.1%
44 4
< 0.1%

V177
Real number (ℝ)

MISSING  ZEROS 

Distinct862
Distinct (%)0.6%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean3.529244938
Minimum0
Maximum861
Zeros120997
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:52.103096image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum861
Range861
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.31062197
Coefficient of variation (CV)11.7052295
Kurtosis246.1911824
Mean3.529244938
Median Absolute Deviation (MAD)0
Skewness15.14787807
Sum492792
Variance1706.567488
MonotonicityNot monotonic
2024-11-14T14:14:52.268103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120997
 
20.5%
1 7687
 
1.3%
2 3871
 
0.7%
3 2104
 
0.4%
4 1189
 
0.2%
5 677
 
0.1%
6 441
 
0.1%
7 349
 
0.1%
8 232
 
< 0.1%
9 157
 
< 0.1%
Other values (852) 1927
 
0.3%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 120997
20.5%
1 7687
 
1.3%
2 3871
 
0.7%
3 2104
 
0.4%
4 1189
 
0.2%
ValueCountFrequency (%)
861 1
< 0.1%
860 1
< 0.1%
859 1
< 0.1%
858 1
< 0.1%
857 1
< 0.1%

V178
Real number (ℝ)

MISSING  ZEROS 

Distinct1236
Distinct (%)0.9%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean6.649282752
Minimum0
Maximum1235
Zeros118836
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:52.440103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum1235
Range1235
Interquartile range (IQR)0

Descriptive statistics

Standard deviation69.44736396
Coefficient of variation (CV)10.44433912
Kurtosis188.593118
Mean6.649282752
Median Absolute Deviation (MAD)0
Skewness13.30141634
Sum928446
Variance4822.936361
MonotonicityNot monotonic
2024-11-14T14:14:52.608872image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 118836
 
20.1%
1 7569
 
1.3%
2 3987
 
0.7%
3 2232
 
0.4%
4 1336
 
0.2%
5 829
 
0.1%
6 548
 
0.1%
7 430
 
0.1%
8 296
 
0.1%
9 215
 
< 0.1%
Other values (1226) 3353
 
0.6%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 118836
20.1%
1 7569
 
1.3%
2 3987
 
0.7%
3 2232
 
0.4%
4 1336
 
0.2%
ValueCountFrequency (%)
1235 17
< 0.1%
1234 1
 
< 0.1%
1233 1
 
< 0.1%
1232 1
 
< 0.1%
1231 2
 
< 0.1%

V179
Real number (ℝ)

MISSING  ZEROS 

Distinct921
Distinct (%)0.7%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean4.869011896
Minimum0
Maximum920
Zeros119688
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:52.797139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum920
Range920
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.48942645
Coefficient of variation (CV)10.36954264
Kurtosis183.2152822
Mean4.869011896
Median Absolute Deviation (MAD)0
Skewness13.04651625
Sum679865
Variance2549.182183
MonotonicityNot monotonic
2024-11-14T14:14:52.990147image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 119688
 
20.3%
1 7570
 
1.3%
2 3933
 
0.7%
3 2177
 
0.4%
4 1311
 
0.2%
5 770
 
0.1%
6 520
 
0.1%
7 389
 
0.1%
8 267
 
< 0.1%
9 202
 
< 0.1%
Other values (911) 2804
 
0.5%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 119688
20.3%
1 7570
 
1.3%
2 3933
 
0.7%
3 2177
 
0.4%
4 1311
 
0.2%
ValueCountFrequency (%)
920 1
< 0.1%
919 1
< 0.1%
918 1
< 0.1%
917 1
< 0.1%
916 1
< 0.1%

V180
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.9241233309
Minimum0
Maximum83
Zeros122945
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:53.202143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum83
Range83
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.112629968
Coefficient of variation (CV)6.614517525
Kurtosis78.82635253
Mean0.9241233309
Median Absolute Deviation (MAD)0
Skewness8.694271787
Sum129210
Variance37.36424512
MonotonicityNot monotonic
2024-11-14T14:14:53.397141image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 122945
 
20.8%
1 9318
 
1.6%
2 2888
 
0.5%
3 1096
 
0.2%
61 874
 
0.1%
4 465
 
0.1%
5 267
 
< 0.1%
34 242
 
< 0.1%
6 139
 
< 0.1%
30 90
 
< 0.1%
Other values (74) 1495
 
0.3%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 122945
20.8%
1 9318
 
1.6%
2 2888
 
0.5%
3 1096
 
0.2%
4 465
 
0.1%
ValueCountFrequency (%)
83 5
< 0.1%
82 1
 
< 0.1%
81 1
 
< 0.1%
80 1
 
< 0.1%
79 1
 
< 0.1%

V181
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean0.2533319965
Minimum0
Maximum24
Zeros125518
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:53.612137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.248974047
Coefficient of variation (CV)4.930186727
Kurtosis74.72014038
Mean0.2533319965
Median Absolute Deviation (MAD)0
Skewness8.083227533
Sum35373
Variance1.559936169
MonotonicityNot monotonic
2024-11-14T14:14:53.780148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 125518
 
21.3%
1 8514
 
1.4%
2 2597
 
0.4%
11 986
 
0.2%
3 953
 
0.2%
4 403
 
0.1%
15 179
 
< 0.1%
5 164
 
< 0.1%
6 87
 
< 0.1%
7 62
 
< 0.1%
Other values (15) 168
 
< 0.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 125518
21.3%
1 8514
 
1.4%
2 2597
 
0.4%
3 953
 
0.2%
4 403
 
0.1%
ValueCountFrequency (%)
24 2
< 0.1%
23 2
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%

V182
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean0.8562425249
Minimum0
Maximum83
Zeros123142
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:54.024144image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum83
Range83
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.792934026
Coefficient of variation (CV)6.765529458
Kurtosis88.09999574
Mean0.8562425249
Median Absolute Deviation (MAD)0
Skewness9.15331193
Sum119558
Variance33.55808463
MonotonicityNot monotonic
2024-11-14T14:14:54.253141image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 123142
 
20.9%
1 9105
 
1.5%
2 2826
 
0.5%
3 1077
 
0.2%
61 863
 
0.1%
4 487
 
0.1%
5 243
 
< 0.1%
34 195
 
< 0.1%
6 129
 
< 0.1%
7 85
 
< 0.1%
Other values (74) 1479
 
0.3%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 123142
20.9%
1 9105
 
1.5%
2 2826
 
0.5%
3 1077
 
0.2%
4 487
 
0.1%
ValueCountFrequency (%)
83 4
< 0.1%
82 2
< 0.1%
81 1
 
< 0.1%
80 1
 
< 0.1%
79 1
 
< 0.1%

V183
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean0.4846917948
Minimum0
Maximum41
Zeros124108
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:55.249767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.946981953
Coefficient of variation (CV)6.080115209
Kurtosis82.08959593
Mean0.4846917948
Median Absolute Deviation (MAD)0
Skewness8.853768114
Sum67678
Variance8.684702633
MonotonicityNot monotonic
2024-11-14T14:14:55.446764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 124108
 
21.0%
1 8833
 
1.5%
2 2688
 
0.5%
3 1069
 
0.2%
27 658
 
0.1%
4 481
 
0.1%
30 346
 
0.1%
5 242
 
< 0.1%
6 137
 
< 0.1%
7 134
 
< 0.1%
Other values (32) 935
 
0.2%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 124108
21.0%
1 8833
 
1.5%
2 2688
 
0.5%
3 1069
 
0.2%
4 481
 
0.1%
ValueCountFrequency (%)
41 1
 
< 0.1%
40 3
 
< 0.1%
39 2
 
< 0.1%
38 2
 
< 0.1%
37 16
< 0.1%

V184
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.1323639849
Minimum0
Maximum16
Zeros127855
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:55.614770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5436985799
Coefficient of variation (CV)4.107602083
Kurtosis90.25783892
Mean0.1323639849
Median Absolute Deviation (MAD)0
Skewness7.363488728
Sum18507
Variance0.2956081458
MonotonicityNot monotonic
2024-11-14T14:14:55.773771image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 127855
 
21.7%
1 8175
 
1.4%
2 2356
 
0.4%
3 852
 
0.1%
4 310
 
0.1%
5 118
 
< 0.1%
6 44
 
< 0.1%
8 43
 
< 0.1%
7 24
 
< 0.1%
11 21
 
< 0.1%
Other values (7) 21
 
< 0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 127855
21.7%
1 8175
 
1.4%
2 2356
 
0.4%
3 852
 
0.1%
4 310
 
0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
12 4
< 0.1%

V185
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.1739034037
Minimum0
Maximum31
Zeros126057
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:55.979766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6997328607
Coefficient of variation (CV)4.023686977
Kurtosis226.1428157
Mean0.1739034037
Median Absolute Deviation (MAD)0
Skewness9.941716386
Sum24315
Variance0.4896260763
MonotonicityNot monotonic
2024-11-14T14:14:56.142785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 126057
 
21.3%
1 8316
 
1.4%
2 2445
 
0.4%
3 2237
 
0.4%
4 391
 
0.1%
5 142
 
< 0.1%
6 80
 
< 0.1%
7 33
 
< 0.1%
8 26
 
< 0.1%
11 25
 
< 0.1%
Other values (22) 67
 
< 0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 126057
21.3%
1 8316
 
1.4%
2 2445
 
0.4%
3 2237
 
0.4%
4 391
 
0.1%
ValueCountFrequency (%)
31 1
< 0.1%
30 1
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
27 1
< 0.1%

V186
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean1.148799335
Minimum0
Maximum38
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:56.332764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.223529131
Coefficient of variation (CV)1.065050347
Kurtosis338.0506732
Mean1.148799335
Median Absolute Deviation (MAD)0
Skewness16.51239274
Sum160408
Variance1.497023535
MonotonicityNot monotonic
2024-11-14T14:14:56.501779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 132235
 
22.4%
2 4599
 
0.8%
3 1004
 
0.2%
4 499
 
0.1%
5 288
 
< 0.1%
6 189
 
< 0.1%
7 138
 
< 0.1%
8 102
 
< 0.1%
9 100
 
< 0.1%
10 49
 
< 0.1%
Other values (29) 428
 
0.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 17
 
< 0.1%
1 132235
22.4%
2 4599
 
0.8%
3 1004
 
0.2%
4 499
 
0.1%
ValueCountFrequency (%)
38 2
 
< 0.1%
37 7
< 0.1%
36 3
< 0.1%
35 3
< 0.1%
34 2
 
< 0.1%

V187
Real number (ℝ)

MISSING 

Distinct215
Distinct (%)0.2%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean1.843752462
Minimum0
Maximum218
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:56.662766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum218
Range218
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.884390139
Coefficient of variation (CV)5.361018002
Kurtosis266.8909233
Mean1.843752462
Median Absolute Deviation (MAD)0
Skewness15.67836753
Sum257445
Variance97.70116843
MonotonicityNot monotonic
2024-11-14T14:14:56.830785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 130076
 
22.0%
2 5812
 
1.0%
3 1170
 
0.2%
4 520
 
0.1%
5 276
 
< 0.1%
6 177
 
< 0.1%
7 169
 
< 0.1%
8 107
 
< 0.1%
9 72
 
< 0.1%
13 56
 
< 0.1%
Other values (205) 1196
 
0.2%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 5
 
< 0.1%
1 130076
22.0%
2 5812
 
1.0%
3 1170
 
0.2%
4 520
 
0.1%
ValueCountFrequency (%)
218 2
 
< 0.1%
217 1
 
< 0.1%
216 4
< 0.1%
215 6
< 0.1%
214 9
< 0.1%

V188
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.01475479
Minimum0
Maximum30
Zeros9693
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:57.001773image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6712065638
Coefficient of variation (CV)0.6614470514
Kurtosis324.9349033
Mean1.01475479
Median Absolute Deviation (MAD)0
Skewness13.02191066
Sum141882
Variance0.4505182514
MonotonicityNot monotonic
2024-11-14T14:14:57.196832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 123940
 
21.0%
0 9693
 
1.6%
2 4257
 
0.7%
3 877
 
0.1%
4 377
 
0.1%
5 194
 
< 0.1%
6 158
 
< 0.1%
7 107
 
< 0.1%
11 44
 
< 0.1%
9 39
 
< 0.1%
Other values (21) 133
 
< 0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 9693
 
1.6%
1 123940
21.0%
2 4257
 
0.7%
3 877
 
0.1%
4 377
 
0.1%
ValueCountFrequency (%)
30 2
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
26 2
< 0.1%

V189
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.03831382
Minimum0
Maximum30
Zeros9579
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:57.347827image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7925279047
Coefficient of variation (CV)0.7632835944
Kurtosis226.1875786
Mean1.03831382
Median Absolute Deviation (MAD)0
Skewness11.77912914
Sum145176
Variance0.6281004797
MonotonicityNot monotonic
2024-11-14T14:14:57.498833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 123163
 
20.9%
0 9579
 
1.6%
2 4656
 
0.8%
3 1067
 
0.2%
4 442
 
0.1%
5 240
 
< 0.1%
7 134
 
< 0.1%
6 121
 
< 0.1%
8 96
 
< 0.1%
9 72
 
< 0.1%
Other values (21) 249
 
< 0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 9579
 
1.6%
1 123163
20.9%
2 4656
 
0.8%
3 1067
 
0.2%
4 442
 
0.1%
ValueCountFrequency (%)
30 2
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
26 2
< 0.1%

V190
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean1.213083055
Minimum0
Maximum42
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:57.660835image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.480318346
Coefficient of variation (CV)1.220294307
Kurtosis266.0524195
Mean1.213083055
Median Absolute Deviation (MAD)0
Skewness14.5649554
Sum169384
Variance2.191342404
MonotonicityNot monotonic
2024-11-14T14:14:57.842907image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 128846
 
21.8%
2 6836
 
1.2%
3 1477
 
0.3%
4 674
 
0.1%
5 394
 
0.1%
6 284
 
< 0.1%
7 188
 
< 0.1%
8 128
 
< 0.1%
9 113
 
< 0.1%
10 81
 
< 0.1%
Other values (33) 610
 
0.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 17
 
< 0.1%
1 128846
21.8%
2 6836
 
1.2%
3 1477
 
0.3%
4 674
 
0.1%
ValueCountFrequency (%)
42 1
 
< 0.1%
41 1
 
< 0.1%
40 3
 
< 0.1%
39 9
< 0.1%
38 5
< 0.1%

V191
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean1.058984036
Minimum0
Maximum21
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:57.981638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6775272977
Coefficient of variation (CV)0.6397899065
Kurtosis370.7416829
Mean1.058984036
Median Absolute Deviation (MAD)0
Skewness17.7661749
Sum147867
Variance0.4590432391
MonotonicityNot monotonic
2024-11-14T14:14:58.112628image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 136888
 
23.2%
2 1647
 
0.3%
3 288
 
< 0.1%
4 152
 
< 0.1%
5 108
 
< 0.1%
6 83
 
< 0.1%
7 69
 
< 0.1%
8 60
 
< 0.1%
12 49
 
< 0.1%
10 46
 
< 0.1%
Other values (12) 241
 
< 0.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 17
 
< 0.1%
1 136888
23.2%
2 1647
 
0.3%
3 288
 
< 0.1%
4 152
 
< 0.1%
ValueCountFrequency (%)
21 6
 
< 0.1%
20 13
< 0.1%
19 16
< 0.1%
18 15
< 0.1%
17 18
< 0.1%

V192
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean1.237361331
Minimum0
Maximum44
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:58.275621image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum44
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.63596147
Coefficient of variation (CV)2.130308588
Kurtosis172.1604704
Mean1.237361331
Median Absolute Deviation (MAD)0
Skewness12.9297176
Sum172774
Variance6.94829287
MonotonicityNot monotonic
2024-11-14T14:14:58.442045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 135994
 
23.0%
2 2129
 
0.4%
3 298
 
0.1%
40 116
 
< 0.1%
38 102
 
< 0.1%
4 91
 
< 0.1%
34 61
 
< 0.1%
33 54
 
< 0.1%
41 49
 
< 0.1%
37 42
 
< 0.1%
Other values (35) 695
 
0.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 5
 
< 0.1%
1 135994
23.0%
2 2129
 
0.4%
3 298
 
0.1%
4 91
 
< 0.1%
ValueCountFrequency (%)
44 6
 
< 0.1%
43 25
 
< 0.1%
42 28
 
< 0.1%
41 49
< 0.1%
40 116
< 0.1%

V193
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean1.149844948
Minimum0
Maximum37
Zeros15
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:58.584045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.714792332
Coefficient of variation (CV)1.491324838
Kurtosis230.3154181
Mean1.149844948
Median Absolute Deviation (MAD)0
Skewness14.61034857
Sum160554
Variance2.940512742
MonotonicityNot monotonic
2024-11-14T14:14:58.732045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 136424
 
23.1%
2 1811
 
0.3%
3 247
 
< 0.1%
4 83
 
< 0.1%
14 60
 
< 0.1%
7 55
 
< 0.1%
5 51
 
< 0.1%
29 50
 
< 0.1%
12 48
 
< 0.1%
26 47
 
< 0.1%
Other values (28) 755
 
0.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 15
 
< 0.1%
1 136424
23.1%
2 1811
 
0.3%
3 247
 
< 0.1%
4 83
 
< 0.1%
ValueCountFrequency (%)
37 1
 
< 0.1%
36 31
< 0.1%
35 19
< 0.1%
34 11
 
< 0.1%
33 5
 
< 0.1%

V194
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.9457727491
Minimum0
Maximum7
Zeros9693
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:58.858058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3041579263
Coefficient of variation (CV)0.3215972617
Kurtosis30.31738554
Mean0.9457727491
Median Absolute Deviation (MAD)0
Skewness0.3824327503
Sum132237
Variance0.09251204411
MonotonicityNot monotonic
2024-11-14T14:14:58.995050image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 128509
 
21.8%
0 9693
 
1.6%
2 1307
 
0.2%
3 201
 
< 0.1%
4 51
 
< 0.1%
5 42
 
< 0.1%
6 15
 
< 0.1%
7 1
 
< 0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 9693
 
1.6%
1 128509
21.8%
2 1307
 
0.2%
3 201
 
< 0.1%
4 51
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 15
 
< 0.1%
5 42
 
< 0.1%
4 51
 
< 0.1%
3 201
< 0.1%

V195
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.9542265357
Minimum0
Maximum16
Zeros9579
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:59.128055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.376419577
Coefficient of variation (CV)0.3944761154
Kurtosis260.5746779
Mean0.9542265357
Median Absolute Deviation (MAD)0
Skewness8.7950195
Sum133419
Variance0.141691698
MonotonicityNot monotonic
2024-11-14T14:14:59.314120image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 128253
 
21.7%
0 9579
 
1.6%
2 1535
 
0.3%
3 248
 
< 0.1%
8 66
 
< 0.1%
4 60
 
< 0.1%
6 31
 
< 0.1%
5 22
 
< 0.1%
7 8
 
< 0.1%
15 5
 
< 0.1%
Other values (7) 12
 
< 0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 9579
 
1.6%
1 128253
21.7%
2 1535
 
0.3%
3 248
 
< 0.1%
4 60
 
< 0.1%
ValueCountFrequency (%)
16 4
< 0.1%
15 5
< 0.1%
14 2
 
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%

V196
Real number (ℝ)

MISSING  SKEWED 

Distinct39
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean1.084580072
Minimum0
Maximum38
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:59.507799image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.105833786
Coefficient of variation (CV)1.019596261
Kurtosis492.2399674
Mean1.084580072
Median Absolute Deviation (MAD)0
Skewness20.5642541
Sum151441
Variance1.222868362
MonotonicityNot monotonic
2024-11-14T14:14:59.743808image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 136911
 
23.2%
2 1415
 
0.2%
3 335
 
0.1%
4 212
 
< 0.1%
5 118
 
< 0.1%
6 81
 
< 0.1%
8 60
 
< 0.1%
9 57
 
< 0.1%
7 51
 
< 0.1%
11 39
 
< 0.1%
Other values (29) 352
 
0.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 17
 
< 0.1%
1 136911
23.2%
2 1415
 
0.2%
3 335
 
0.1%
4 212
 
< 0.1%
ValueCountFrequency (%)
38 2
 
< 0.1%
37 9
< 0.1%
36 6
< 0.1%
35 4
< 0.1%
34 8
< 0.1%

V197
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.9493845615
Minimum0
Maximum14
Zeros9693
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:14:59.876817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3368705583
Coefficient of variation (CV)0.3548304575
Kurtosis120.8823342
Mean0.9493845615
Median Absolute Deviation (MAD)0
Skewness4.180454782
Sum132742
Variance0.113481773
MonotonicityNot monotonic
2024-11-14T14:15:00.015814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 128419
 
21.7%
0 9693
 
1.6%
2 1256
 
0.2%
3 235
 
< 0.1%
4 102
 
< 0.1%
5 68
 
< 0.1%
6 15
 
< 0.1%
7 14
 
< 0.1%
8 7
 
< 0.1%
11 2
 
< 0.1%
Other values (5) 8
 
< 0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 9693
 
1.6%
1 128419
21.7%
2 1256
 
0.2%
3 235
 
< 0.1%
4 102
 
< 0.1%
ValueCountFrequency (%)
14 1
< 0.1%
13 2
< 0.1%
12 2
< 0.1%
11 2
< 0.1%
10 1
< 0.1%

V198
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean0.9619508078
Minimum0
Maximum21
Zeros9579
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:00.161796image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4930649397
Coefficient of variation (CV)0.5125677277
Kurtosis418.6361734
Mean0.9619508078
Median Absolute Deviation (MAD)0
Skewness15.33320902
Sum134499
Variance0.2431130348
MonotonicityNot monotonic
2024-11-14T14:15:00.314171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 128276
 
21.7%
0 9579
 
1.6%
2 1318
 
0.2%
3 297
 
0.1%
4 121
 
< 0.1%
14 58
 
< 0.1%
5 50
 
< 0.1%
6 26
 
< 0.1%
8 19
 
< 0.1%
11 17
 
< 0.1%
Other values (12) 58
 
< 0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 9579
 
1.6%
1 128276
21.7%
2 1318
 
0.2%
3 297
 
0.1%
4 121
 
< 0.1%
ValueCountFrequency (%)
21 4
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
18 1
 
< 0.1%
17 2
< 0.1%

V199
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)< 0.1%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean1.270749332
Minimum0
Maximum45
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:00.474176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.671862772
Coefficient of variation (CV)1.315651112
Kurtosis237.2385481
Mean1.270749332
Median Absolute Deviation (MAD)0
Skewness13.75015666
Sum177436
Variance2.795125127
MonotonicityNot monotonic
2024-11-14T14:15:00.639179image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 125279
 
21.2%
2 9231
 
1.6%
3 2119
 
0.4%
4 871
 
0.1%
5 462
 
0.1%
6 333
 
0.1%
7 239
 
< 0.1%
8 164
 
< 0.1%
9 136
 
< 0.1%
10 98
 
< 0.1%
Other values (36) 699
 
0.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 17
 
< 0.1%
1 125279
21.2%
2 9231
 
1.6%
3 2119
 
0.4%
4 871
 
0.1%
ValueCountFrequency (%)
45 1
 
< 0.1%
44 1
 
< 0.1%
43 3
 
< 0.1%
42 8
< 0.1%
41 5
< 0.1%

V200
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.119976541
Minimum0
Maximum45
Zeros9693
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:00.796169image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.253852703
Coefficient of variation (CV)1.119534791
Kurtosis392.5886754
Mean1.119976541
Median Absolute Deviation (MAD)0
Skewness16.57585147
Sum156594
Variance1.572146601
MonotonicityNot monotonic
2024-11-14T14:15:00.965192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 117750
 
19.9%
0 9693
 
1.6%
2 8523
 
1.4%
3 1723
 
0.3%
4 728
 
0.1%
5 366
 
0.1%
6 293
 
< 0.1%
7 161
 
< 0.1%
9 105
 
< 0.1%
8 104
 
< 0.1%
Other values (36) 373
 
0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 9693
 
1.6%
1 117750
19.9%
2 8523
 
1.4%
3 1723
 
0.3%
4 728
 
0.1%
ValueCountFrequency (%)
45 1
< 0.1%
44 1
< 0.1%
43 1
< 0.1%
42 1
< 0.1%
41 2
< 0.1%

V201
Real number (ℝ)

MISSING  ZEROS 

Distinct56
Distinct (%)< 0.1%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean1.159105701
Minimum0
Maximum55
Zeros9579
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:01.125187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum55
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.418618053
Coefficient of variation (CV)1.223890153
Kurtosis368.9917402
Mean1.159105701
Median Absolute Deviation (MAD)0
Skewness15.68987415
Sum162065
Variance2.012477182
MonotonicityNot monotonic
2024-11-14T14:15:01.290265image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 116412
 
19.7%
0 9579
 
1.6%
2 9285
 
1.6%
3 1922
 
0.3%
4 860
 
0.1%
5 422
 
0.1%
6 270
 
< 0.1%
7 186
 
< 0.1%
9 178
 
< 0.1%
8 134
 
< 0.1%
Other values (46) 571
 
0.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 9579
 
1.6%
1 116412
19.7%
2 9285
 
1.6%
3 1922
 
0.3%
4 860
 
0.1%
ValueCountFrequency (%)
55 1
< 0.1%
54 1
< 0.1%
53 1
< 0.1%
52 1
< 0.1%
51 1
< 0.1%

V202
Real number (ℝ)

MISSING  ZEROS 

Distinct10970
Distinct (%)7.9%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean444.1471422
Minimum0
Maximum104060
Zeros106161
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:01.473173image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile347.381897
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4683.828419
Coefficient of variation (CV)10.54566826
Kurtosis229.6283926
Mean444.1471422
Median Absolute Deviation (MAD)0
Skewness14.59626166
Sum62016709.62
Variance21938248.66
MonotonicityNot monotonic
2024-11-14T14:15:01.682451image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 106161
 
18.0%
100 2186
 
0.4%
200 1500
 
0.3%
50 1391
 
0.2%
150 1256
 
0.2%
300 1046
 
0.2%
400 589
 
0.1%
25 530
 
0.1%
250 477
 
0.1%
75 472
 
0.1%
Other values (10960) 24023
 
4.1%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 106161
18.0%
0.2915000021 2
 
< 0.1%
0.423999995 1
 
< 0.1%
0.5830000043 1
 
< 0.1%
0.84799999 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
< 0.1%
101640 1
< 0.1%
94053 1
< 0.1%
93947 1
< 0.1%
93841 1
< 0.1%

V203
Real number (ℝ)

MISSING  ZEROS 

Distinct14951
Distinct (%)10.7%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean1078.327538
Minimum0
Maximum139777
Zeros98207
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:01.846464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330.92440033
95-th percentile500
Maximum139777
Range139777
Interquartile range (IQR)30.92440033

Descriptive statistics

Standard deviation9105.607991
Coefficient of variation (CV)8.444194987
Kurtosis120.6138618
Mean1078.327538
Median Absolute Deviation (MAD)0
Skewness10.56335984
Sum150567952.5
Variance82912096.89
MonotonicityNot monotonic
2024-11-14T14:15:02.071452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98207
 
16.6%
100 2372
 
0.4%
200 1580
 
0.3%
50 1553
 
0.3%
150 1341
 
0.2%
300 1104
 
0.2%
400 646
 
0.1%
25 593
 
0.1%
75 541
 
0.1%
250 533
 
0.1%
Other values (14941) 31161
 
5.3%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 98207
16.6%
0.2915000021 3
 
< 0.1%
0.423999995 1
 
< 0.1%
0.5830000043 1
 
< 0.1%
0.84799999 1
 
< 0.1%
ValueCountFrequency (%)
139777 1
< 0.1%
139762 1
< 0.1%
139736 1
< 0.1%
139732 1
< 0.1%
139677 1
< 0.1%

V204
Real number (ℝ)

MISSING  ZEROS 

Distinct12858
Distinct (%)9.2%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean686.9569308
Minimum0
Maximum104060
Zeros101660
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:02.253487image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile400
Maximum104060
Range104060
Interquartile range (IQR)20

Descriptive statistics

Standard deviation6048.980716
Coefficient of variation (CV)8.805473014
Kurtosis149.5819815
Mean686.9569308
Median Absolute Deviation (MAD)0
Skewness11.67097813
Sum95920483.2
Variance36590167.7
MonotonicityNot monotonic
2024-11-14T14:15:02.435481image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 101660
 
17.2%
100 2289
 
0.4%
200 1541
 
0.3%
50 1507
 
0.3%
150 1306
 
0.2%
300 1078
 
0.2%
400 626
 
0.1%
25 599
 
0.1%
75 523
 
0.1%
250 498
 
0.1%
Other values (12848) 28004
 
4.7%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 101660
17.2%
0.2915000021 2
 
< 0.1%
0.423999995 1
 
< 0.1%
0.5830000043 1
 
< 0.1%
0.84799999 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
< 0.1%
102387 1
< 0.1%
102331 1
< 0.1%
102275 1
< 0.1%
102219 1
< 0.1%

V205
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2240
Distinct (%)1.6%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean18.06041662
Minimum0
Maximum55125
Zeros128800
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:02.581490image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation266.5454508
Coefficient of variation (CV)14.75854386
Kurtosis14548.3098
Mean18.06041662
Median Absolute Deviation (MAD)0
Skewness84.90479183
Sum2521794.033
Variance71046.47732
MonotonicityNot monotonic
2024-11-14T14:15:02.760481image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128800
 
21.8%
100 598
 
0.1%
50 370
 
0.1%
150 218
 
< 0.1%
25 205
 
< 0.1%
265 187
 
< 0.1%
106 166
 
< 0.1%
20 163
 
< 0.1%
200 147
 
< 0.1%
181 136
 
< 0.1%
Other values (2230) 8641
 
1.5%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 128800
21.8%
0.2915000021 2
 
< 0.1%
1.17019999 5
 
< 0.1%
1.640400052 1
 
< 0.1%
1.738399982 5
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12500 1
< 0.1%
12307.5 2
< 0.1%
11000 1
< 0.1%

V206
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1780
Distinct (%)1.3%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean6.189360057
Minimum0
Maximum55125
Zeros132868
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:02.914486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation191.4740144
Coefficient of variation (CV)30.93599543
Kurtosis54107.10172
Mean6.189360057
Median Absolute Deviation (MAD)0
Skewness207.8816169
Sum864226.5341
Variance36662.29821
MonotonicityNot monotonic
2024-11-14T14:15:03.076488image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 132868
 
22.5%
100 288
 
< 0.1%
50 253
 
< 0.1%
150 171
 
< 0.1%
25 120
 
< 0.1%
200 112
 
< 0.1%
300 69
 
< 0.1%
250 69
 
< 0.1%
1000 67
 
< 0.1%
75 61
 
< 0.1%
Other values (1770) 5553
 
0.9%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 132868
22.5%
0.2915000021 2
 
< 0.1%
1.738399982 5
 
< 0.1%
1.860299945 1
 
< 0.1%
1.895799994 1
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12500 1
< 0.1%
12307.5 1
< 0.1%
11000 1
< 0.1%

V207
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3246
Distinct (%)2.3%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean72.28409785
Minimum0
Maximum55125
Zeros123086
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:03.239481image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile67.0667038
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation925.6766601
Coefficient of variation (CV)12.80608997
Kurtosis523.5522463
Mean72.28409785
Median Absolute Deviation (MAD)0
Skewness21.01528925
Sum10093100.87
Variance856877.2791
MonotonicityNot monotonic
2024-11-14T14:15:03.402487image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 123086
 
20.8%
877 914
 
0.2%
50 552
 
0.1%
100 483
 
0.1%
619 342
 
0.1%
25 318
 
0.1%
150 253
 
< 0.1%
20 235
 
< 0.1%
30 209
 
< 0.1%
200 189
 
< 0.1%
Other values (3236) 13050
 
2.2%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 123086
20.8%
0.2915000021 2
 
< 0.1%
1.17019999 5
 
< 0.1%
1.640400052 1
 
< 0.1%
1.738399982 5
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
25525 1
< 0.1%
25475 1
< 0.1%
25400 1
< 0.1%

V208
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2552
Distinct (%)1.8%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean8.888193246
Minimum0
Maximum3300
Zeros123863
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:03.574481image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile50
Maximum3300
Range3300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation59.04712485
Coefficient of variation (CV)6.64332145
Kurtosis1009.131942
Mean8.888193246
Median Absolute Deviation (MAD)0
Skewness25.52311756
Sum1242738.291
Variance3486.562953
MonotonicityNot monotonic
2024-11-14T14:15:03.777541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 123863
 
21.0%
75 1461
 
0.2%
50 716
 
0.1%
100 553
 
0.1%
25 360
 
0.1%
20 309
 
0.1%
150 262
 
< 0.1%
200 245
 
< 0.1%
15 213
 
< 0.1%
30 198
 
< 0.1%
Other values (2542) 11639
 
2.0%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 123863
21.0%
0.2915000021 2
 
< 0.1%
1.17019999 5
 
< 0.1%
1.640400052 1
 
< 0.1%
1.738399982 5
 
< 0.1%
ValueCountFrequency (%)
3300 1
 
< 0.1%
3250 1
 
< 0.1%
3100 1
 
< 0.1%
3000 11
< 0.1%
2500 3
 
< 0.1%

V209
Real number (ℝ)

MISSING  ZEROS 

Distinct3451
Distinct (%)2.5%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean35.00187177
Minimum0
Maximum8050
Zeros122714
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:03.965141image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile70.70359344
Maximum8050
Range8050
Interquartile range (IQR)0

Descriptive statistics

Standard deviation250.8008223
Coefficient of variation (CV)7.165354582
Kurtosis196.1733504
Mean35.00187177
Median Absolute Deviation (MAD)0
Skewness11.94474784
Sum4893926.71
Variance62901.05247
MonotonicityNot monotonic
2024-11-14T14:15:04.170136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 122714
 
20.8%
1961 921
 
0.2%
50 589
 
0.1%
100 501
 
0.1%
1084 339
 
0.1%
25 305
 
0.1%
150 285
 
< 0.1%
200 271
 
< 0.1%
75 166
 
< 0.1%
20 158
 
< 0.1%
Other values (3441) 13570
 
2.3%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 122714
20.8%
0.2915000021 2
 
< 0.1%
1.17019999 5
 
< 0.1%
1.640400052 1
 
< 0.1%
1.738399982 5
 
< 0.1%
ValueCountFrequency (%)
8050 5
< 0.1%
7675 4
< 0.1%
7300 3
< 0.1%
6650 2
 
< 0.1%
5950 4
< 0.1%

V210
Real number (ℝ)

MISSING  ZEROS 

Distinct2836
Distinct (%)2.0%
Missing450721
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean14.39183493
Minimum0
Maximum3300
Zeros123575
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:04.363993image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile55.26839828
Maximum3300
Range3300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation86.52372405
Coefficient of variation (CV)6.012000865
Kurtosis334.4375591
Mean14.39183493
Median Absolute Deviation (MAD)0
Skewness14.673158
Sum2012251.968
Variance7486.354823
MonotonicityNot monotonic
2024-11-14T14:15:04.558011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 123575
 
20.9%
465 1340
 
0.2%
50 654
 
0.1%
100 560
 
0.1%
25 325
 
0.1%
150 283
 
< 0.1%
200 277
 
< 0.1%
20 179
 
< 0.1%
75 175
 
< 0.1%
30 148
 
< 0.1%
Other values (2826) 12303
 
2.1%
(Missing) 450721
76.3%
ValueCountFrequency (%)
0 123575
20.9%
0.2915000021 2
 
< 0.1%
1.17019999 5
 
< 0.1%
1.640400052 1
 
< 0.1%
1.738399982 5
 
< 0.1%
ValueCountFrequency (%)
3300 1
 
< 0.1%
3250 1
 
< 0.1%
3100 1
 
< 0.1%
3000 13
< 0.1%
2500 3
 
< 0.1%

V211
Real number (ℝ)

MISSING  ZEROS 

Distinct7624
Distinct (%)5.5%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean385.1370374
Minimum0
Maximum92888
Zeros120997
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:04.727003image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile185.6696014
Maximum92888
Range92888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4541.837915
Coefficient of variation (CV)11.79278406
Kurtosis240.4581108
Mean385.1370374
Median Absolute Deviation (MAD)0
Skewness15.00071952
Sum53777069.67
Variance20628291.64
MonotonicityNot monotonic
2024-11-14T14:15:04.904000image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120997
 
20.5%
100 981
 
0.2%
200 681
 
0.1%
150 642
 
0.1%
50 633
 
0.1%
300 557
 
0.1%
75 244
 
< 0.1%
400 236
 
< 0.1%
600 212
 
< 0.1%
25 205
 
< 0.1%
Other values (7614) 14243
 
2.4%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 120997
20.5%
0.2915000021 2
 
< 0.1%
0.423999995 1
 
< 0.1%
0.84799999 1
 
< 0.1%
0.8781999946 11
 
< 0.1%
ValueCountFrequency (%)
92888 1
< 0.1%
92782 1
< 0.1%
92676 1
< 0.1%
92570 1
< 0.1%
92464 1
< 0.1%

V212
Real number (ℝ)

MISSING  ZEROS 

Distinct8868
Distinct (%)6.4%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean765.9883389
Minimum0
Maximum129006
Zeros118836
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:05.095989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile250
Maximum129006
Range129006
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7496.120737
Coefficient of variation (CV)9.786207382
Kurtosis173.2871935
Mean765.9883389
Median Absolute Deviation (MAD)0
Skewness12.62940649
Sum106955717.8
Variance56191826.11
MonotonicityNot monotonic
2024-11-14T14:15:05.294985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 118836
 
20.1%
100 965
 
0.2%
200 674
 
0.1%
150 658
 
0.1%
50 643
 
0.1%
300 554
 
0.1%
400 263
 
< 0.1%
75 231
 
< 0.1%
25 224
 
< 0.1%
600 215
 
< 0.1%
Other values (8858) 16368
 
2.8%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 118836
20.1%
0.2915000021 2
 
< 0.1%
0.423999995 1
 
< 0.1%
0.84799999 1
 
< 0.1%
0.8781999946 8
 
< 0.1%
ValueCountFrequency (%)
129006 17
< 0.1%
128950 1
 
< 0.1%
128894 1
 
< 0.1%
128838 1
 
< 0.1%
128782 1
 
< 0.1%

V213
Real number (ℝ)

MISSING  ZEROS 

Distinct8317
Distinct (%)6.0%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean536.3028022
Minimum0
Maximum97628
Zeros119688
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:05.491003image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile219.5453949
Maximum97628
Range97628
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5471.664736
Coefficient of variation (CV)10.202566
Kurtosis180.3489658
Mean536.3028022
Median Absolute Deviation (MAD)0
Skewness12.92829947
Sum74884496.57
Variance29939114.99
MonotonicityNot monotonic
2024-11-14T14:15:05.690003image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 119688
 
20.3%
100 960
 
0.2%
200 684
 
0.1%
150 650
 
0.1%
50 633
 
0.1%
300 561
 
0.1%
400 265
 
< 0.1%
75 234
 
< 0.1%
600 214
 
< 0.1%
25 211
 
< 0.1%
Other values (8307) 15531
 
2.6%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 119688
20.3%
0.2915000021 2
 
< 0.1%
0.423999995 1
 
< 0.1%
0.84799999 1
 
< 0.1%
0.8781999946 9
 
< 0.1%
ValueCountFrequency (%)
97628 1
< 0.1%
97572 1
< 0.1%
97516 1
< 0.1%
97460 1
< 0.1%
97404 1
< 0.1%

V214
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2282
Distinct (%)1.6%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean38.43754735
Minimum0
Maximum104060
Zeros125518
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:05.874990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile125
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation571.8342832
Coefficient of variation (CV)14.87697116
Kurtosis18337.16971
Mean38.43754735
Median Absolute Deviation (MAD)0
Skewness119.1736025
Sum5367073.173
Variance326994.4474
MonotonicityNot monotonic
2024-11-14T14:15:06.135740image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 125518
 
21.3%
100 1303
 
0.2%
200 930
 
0.2%
1165 862
 
0.1%
150 689
 
0.1%
300 650
 
0.1%
50 643
 
0.1%
400 398
 
0.1%
250 346
 
0.1%
500 341
 
0.1%
Other values (2272) 7951
 
1.3%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 125518
21.3%
1.308599949 8
 
< 0.1%
1.993899941 1
 
< 0.1%
2.151799917 2
 
< 0.1%
2.257800102 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
< 0.1%
101640 1
< 0.1%
64800 1
< 0.1%
60500 1
< 0.1%
52030 1
< 0.1%

V215
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2747
Distinct (%)2.0%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean133.2082167
Minimum0
Maximum104060
Zeros123142
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:06.392056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile174.6710052
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1040.453748
Coefficient of variation (CV)7.810732507
Kurtosis1724.937519
Mean133.2082167
Median Absolute Deviation (MAD)0
Skewness25.55005775
Sum18599996.5
Variance1082544.002
MonotonicityNot monotonic
2024-11-14T14:15:06.567073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 123142
 
20.9%
100 1330
 
0.2%
200 939
 
0.2%
6428 863
 
0.1%
50 720
 
0.1%
150 703
 
0.1%
300 647
 
0.1%
400 346
 
0.1%
250 322
 
0.1%
500 305
 
0.1%
Other values (2737) 10314
 
1.7%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 123142
20.9%
1.308599949 8
 
< 0.1%
1.993899941 1
 
< 0.1%
2.151799917 2
 
< 0.1%
2.175100088 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
< 0.1%
101640 1
< 0.1%
64800 1
< 0.1%
60500 1
< 0.1%
52030 1
< 0.1%

V216
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2532
Distinct (%)1.8%
Missing450909
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean71.10714295
Minimum0
Maximum104060
Zeros124108
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:06.756062image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation680.2676246
Coefficient of variation (CV)9.56679732
Kurtosis9219.722004
Mean71.10714295
Median Absolute Deviation (MAD)0
Skewness73.49386937
Sum9928761.477
Variance462764.0411
MonotonicityNot monotonic
2024-11-14T14:15:06.967068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 124108
 
21.0%
100 1307
 
0.2%
200 942
 
0.2%
150 695
 
0.1%
50 679
 
0.1%
300 640
 
0.1%
2932 606
 
0.1%
400 366
 
0.1%
250 317
 
0.1%
500 302
 
0.1%
Other values (2522) 9669
 
1.6%
(Missing) 450909
76.4%
ValueCountFrequency (%)
0 124108
21.0%
1.308599949 8
 
< 0.1%
1.993899941 1
 
< 0.1%
2.151799917 2
 
< 0.1%
2.257800102 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
< 0.1%
101640 1
< 0.1%
64800 1
< 0.1%
60500 1
< 0.1%
52030 1
< 0.1%

V217
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct304
Distinct (%)0.2%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.054619336
Minimum0
Maximum303
Zeros98285
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:07.192060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum303
Range303
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.547354323
Coefficient of variation (CV)9.052891405
Kurtosis620.4570162
Mean1.054619336
Median Absolute Deviation (MAD)0
Skewness23.77136775
Sum137554
Variance91.15197458
MonotonicityNot monotonic
2024-11-14T14:15:07.410067image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98285
 
16.6%
1 15372
 
2.6%
2 6761
 
1.1%
3 3552
 
0.6%
4 2068
 
0.4%
5 1083
 
0.2%
6 727
 
0.1%
7 513
 
0.1%
8 371
 
0.1%
9 282
 
< 0.1%
Other values (294) 1416
 
0.2%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 98285
16.6%
1 15372
 
2.6%
2 6761
 
1.1%
3 3552
 
0.6%
4 2068
 
0.4%
ValueCountFrequency (%)
303 1
 
< 0.1%
302 1
 
< 0.1%
301 1
 
< 0.1%
300 1
 
< 0.1%
299 3
< 0.1%

V218
Real number (ℝ)

MISSING  ZEROS 

Distinct401
Distinct (%)0.3%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.725783945
Minimum0
Maximum400
Zeros90334
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:07.626056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum400
Range400
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.91987569
Coefficient of variation (CV)8.065827547
Kurtosis431.927657
Mean1.725783945
Median Absolute Deviation (MAD)0
Skewness19.66110458
Sum225094
Variance193.7629391
MonotonicityNot monotonic
2024-11-14T14:15:07.875052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90334
 
15.3%
1 17257
 
2.9%
2 7967
 
1.3%
3 4494
 
0.8%
4 2779
 
0.5%
5 1672
 
0.3%
6 1150
 
0.2%
7 850
 
0.1%
8 630
 
0.1%
9 486
 
0.1%
Other values (391) 2811
 
0.5%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 90334
15.3%
1 17257
 
2.9%
2 7967
 
1.3%
3 4494
 
0.8%
4 2779
 
0.5%
ValueCountFrequency (%)
400 1
< 0.1%
399 1
< 0.1%
398 1
< 0.1%
397 1
< 0.1%
396 1
< 0.1%

V219
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct379
Distinct (%)0.3%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.367131795
Minimum0
Maximum378
Zeros94337
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:08.113060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum378
Range378
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.04403163
Coefficient of variation (CV)8.809707792
Kurtosis553.6202994
Mean1.367131795
Median Absolute Deviation (MAD)0
Skewness22.33226406
Sum178315
Variance145.0586978
MonotonicityNot monotonic
2024-11-14T14:15:08.397194image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 94337
 
16.0%
1 16438
 
2.8%
2 7419
 
1.3%
3 4045
 
0.7%
4 2435
 
0.4%
5 1393
 
0.2%
6 924
 
0.2%
7 633
 
0.1%
8 468
 
0.1%
9 347
 
0.1%
Other values (369) 1991
 
0.3%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 94337
16.0%
1 16438
 
2.8%
2 7419
 
1.3%
3 4045
 
0.7%
4 2435
 
0.4%
ValueCountFrequency (%)
378 1
< 0.1%
377 1
< 0.1%
376 1
< 0.1%
375 1
< 0.1%
374 1
< 0.1%

V220
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean0.1694716298
Minimum0
Maximum25
Zeros133047
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:08.584841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.002462911
Coefficient of variation (CV)5.915225529
Kurtosis143.0262091
Mean0.1694716298
Median Absolute Deviation (MAD)0
Skewness10.32840847
Sum23966
Variance1.004931888
MonotonicityNot monotonic
2024-11-14T14:15:08.779499image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 133047
 
22.5%
1 3795
 
0.6%
2 1562
 
0.3%
3 980
 
0.2%
4 615
 
0.1%
5 380
 
0.1%
6 290
 
< 0.1%
7 173
 
< 0.1%
8 124
 
< 0.1%
9 87
 
< 0.1%
Other values (16) 363
 
0.1%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 133047
22.5%
1 3795
 
0.6%
2 1562
 
0.3%
3 980
 
0.2%
4 615
 
0.1%
ValueCountFrequency (%)
25 1
 
< 0.1%
24 2
 
< 0.1%
23 5
< 0.1%
22 3
 
< 0.1%
21 10
< 0.1%

V221
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct77
Distinct (%)0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean1.274912315
Minimum0
Maximum384
Zeros32341
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:09.017504image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum384
Range384
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.728791873
Coefficient of variation (CV)2.140376119
Kurtosis5046.042681
Mean1.274912315
Median Absolute Deviation (MAD)0
Skewness51.30176649
Sum180293
Variance7.446305087
MonotonicityNot monotonic
2024-11-14T14:15:09.247650image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 82715
 
14.0%
0 32341
 
5.5%
2 12789
 
2.2%
3 5615
 
1.0%
4 3064
 
0.5%
5 1716
 
0.3%
6 850
 
0.1%
7 566
 
0.1%
8 401
 
0.1%
9 282
 
< 0.1%
Other values (67) 1077
 
0.2%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 32341
 
5.5%
1 82715
14.0%
2 12789
 
2.2%
3 5615
 
1.0%
4 3064
 
0.5%
ValueCountFrequency (%)
384 1
< 0.1%
259 1
< 0.1%
234 1
< 0.1%
225 1
< 0.1%
217 1
< 0.1%

V222
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct76
Distinct (%)0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean1.359004639
Minimum0
Maximum384
Zeros32264
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:09.437662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum384
Range384
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.913771795
Coefficient of variation (CV)2.144048454
Kurtosis3965.25576
Mean1.359004639
Median Absolute Deviation (MAD)0
Skewness44.0685396
Sum192185
Variance8.490066071
MonotonicityNot monotonic
2024-11-14T14:15:09.630662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 80334
 
13.6%
0 32264
 
5.5%
2 13462
 
2.3%
3 5985
 
1.0%
4 3313
 
0.6%
5 1943
 
0.3%
6 1173
 
0.2%
7 687
 
0.1%
8 470
 
0.1%
9 409
 
0.1%
Other values (66) 1376
 
0.2%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 32264
5.5%
1 80334
13.6%
2 13462
 
2.3%
3 5985
 
1.0%
4 3313
 
0.6%
ValueCountFrequency (%)
384 1
< 0.1%
259 1
< 0.1%
234 1
< 0.1%
225 1
< 0.1%
217 1
< 0.1%

V223
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.09315341563
Minimum0
Maximum16
Zeros120515
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:09.788671image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.402232021
Coefficient of variation (CV)4.317952469
Kurtosis265.2219385
Mean0.09315341563
Median Absolute Deviation (MAD)0
Skewness11.1883933
Sum12150
Variance0.1617905987
MonotonicityNot monotonic
2024-11-14T14:15:09.925661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 120515
 
20.4%
1 8495
 
1.4%
2 1114
 
0.2%
3 181
 
< 0.1%
4 38
 
< 0.1%
5 20
 
< 0.1%
7 16
 
< 0.1%
6 10
 
< 0.1%
8 8
 
< 0.1%
14 8
 
< 0.1%
Other values (7) 25
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 120515
20.4%
1 8495
 
1.4%
2 1114
 
0.2%
3 181
 
< 0.1%
4 38
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
15 2
 
< 0.1%
14 8
< 0.1%
13 3
 
< 0.1%
12 5
< 0.1%

V224
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct79
Distinct (%)0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.3947481408
Minimum0
Maximum144
Zeros112053
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:10.080672image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum144
Range144
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.443310362
Coefficient of variation (CV)8.722803243
Kurtosis1071.047259
Mean0.3947481408
Median Absolute Deviation (MAD)0
Skewness29.95122568
Sum51487
Variance11.85638625
MonotonicityNot monotonic
2024-11-14T14:15:10.250662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 112053
 
19.0%
1 12540
 
2.1%
2 2808
 
0.5%
3 942
 
0.2%
4 428
 
0.1%
18 340
 
0.1%
5 222
 
< 0.1%
6 194
 
< 0.1%
7 159
 
< 0.1%
8 97
 
< 0.1%
Other values (69) 647
 
0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 112053
19.0%
1 12540
 
2.1%
2 2808
 
0.5%
3 942
 
0.2%
4 428
 
0.1%
ValueCountFrequency (%)
144 1
 
< 0.1%
143 5
< 0.1%
142 6
< 0.1%
141 1
 
< 0.1%
140 1
 
< 0.1%

V225
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct35
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.1917580311
Minimum0
Maximum51
Zeros116323
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:10.410429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.290820053
Coefficient of variation (CV)6.731504516
Kurtosis934.0030673
Mean0.1917580311
Median Absolute Deviation (MAD)0
Skewness27.15642124
Sum25011
Variance1.666216408
MonotonicityNot monotonic
2024-11-14T14:15:10.608400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 116323
 
19.7%
1 10798
 
1.8%
2 1869
 
0.3%
3 526
 
0.1%
7 377
 
0.1%
4 180
 
< 0.1%
5 99
 
< 0.1%
6 71
 
< 0.1%
8 39
 
< 0.1%
10 33
 
< 0.1%
Other values (25) 115
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 116323
19.7%
1 10798
 
1.8%
2 1869
 
0.3%
3 526
 
0.1%
4 180
 
< 0.1%
ValueCountFrequency (%)
51 8
< 0.1%
50 6
< 0.1%
49 6
< 0.1%
48 11
< 0.1%
47 5
< 0.1%

V226
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct81
Distinct (%)0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.2476117458
Minimum0
Maximum242
Zeros122371
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:10.772358image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum242
Range242
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.756449198
Coefficient of variation (CV)11.13214234
Kurtosis1524.329269
Mean0.2476117458
Median Absolute Deviation (MAD)0
Skewness30.26010877
Sum32296
Variance7.598012183
MonotonicityNot monotonic
2024-11-14T14:15:10.940658image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 122371
 
20.7%
1 4208
 
0.7%
2 1597
 
0.3%
3 728
 
0.1%
4 474
 
0.1%
5 215
 
< 0.1%
6 136
 
< 0.1%
7 84
 
< 0.1%
8 72
 
< 0.1%
9 52
 
< 0.1%
Other values (71) 493
 
0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 122371
20.7%
1 4208
 
0.7%
2 1597
 
0.3%
3 728
 
0.1%
4 474
 
0.1%
ValueCountFrequency (%)
242 2
< 0.1%
192 1
 
< 0.1%
128 1
 
< 0.1%
121 3
< 0.1%
108 2
< 0.1%

V227
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct50
Distinct (%)< 0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean0.1479747695
Minimum0
Maximum360
Zeros128436
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:11.107435image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum360
Range360
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.049363377
Coefficient of variation (CV)13.84941085
Kurtosis12570.23922
Mean0.1479747695
Median Absolute Deviation (MAD)0
Skewness99.42866629
Sum20926
Variance4.199890252
MonotonicityNot monotonic
2024-11-14T14:15:11.285238image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128436
 
21.7%
1 10503
 
1.8%
2 1659
 
0.3%
3 432
 
0.1%
4 123
 
< 0.1%
6 90
 
< 0.1%
5 61
 
< 0.1%
7 13
 
< 0.1%
9 12
 
< 0.1%
8 10
 
< 0.1%
Other values (40) 77
 
< 0.1%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 128436
21.7%
1 10503
 
1.8%
2 1659
 
0.3%
3 432
 
0.1%
4 123
 
< 0.1%
ValueCountFrequency (%)
360 1
< 0.1%
238 1
< 0.1%
217 1
< 0.1%
213 1
< 0.1%
202 2
< 0.1%

V228
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.351928237
Minimum0
Maximum54
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:11.473243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum54
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.40972237
Coefficient of variation (CV)1.042749409
Kurtosis214.3851393
Mean1.351928237
Median Absolute Deviation (MAD)0
Skewness10.79625034
Sum176332
Variance1.987317161
MonotonicityNot monotonic
2024-11-14T14:15:11.647240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 111066
 
18.8%
2 10750
 
1.8%
3 3625
 
0.6%
4 1765
 
0.3%
5 1027
 
0.2%
6 625
 
0.1%
7 420
 
0.1%
8 288
 
< 0.1%
9 190
 
< 0.1%
10 134
 
< 0.1%
Other values (45) 540
 
0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 8
 
< 0.1%
1 111066
18.8%
2 10750
 
1.8%
3 3625
 
0.6%
4 1765
 
0.3%
ValueCountFrequency (%)
54 1
< 0.1%
53 1
< 0.1%
52 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%

V229
Real number (ℝ)

MISSING  SKEWED 

Distinct91
Distinct (%)0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.638710419
Minimum0
Maximum176
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:11.805254image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum176
Range176
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.316026043
Coefficient of variation (CV)2.633794227
Kurtosis1040.21011
Mean1.638710419
Median Absolute Deviation (MAD)0
Skewness29.3673987
Sum213737
Variance18.6280808
MonotonicityNot monotonic
2024-11-14T14:15:11.987241image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 104007
 
17.6%
2 13775
 
2.3%
3 5042
 
0.9%
4 2521
 
0.4%
5 1480
 
0.3%
6 890
 
0.2%
7 635
 
0.1%
8 429
 
0.1%
9 290
 
< 0.1%
10 217
 
< 0.1%
Other values (81) 1144
 
0.2%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 104007
17.6%
2 13775
 
2.3%
3 5042
 
0.9%
4 2521
 
0.4%
ValueCountFrequency (%)
176 6
< 0.1%
175 5
< 0.1%
174 1
 
< 0.1%
173 1
 
< 0.1%
172 1
 
< 0.1%

V230
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.465475734
Minimum0
Maximum65
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:12.155251image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum65
Range65
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.122782779
Coefficient of variation (CV)1.448528099
Kurtosis335.1895257
Mean1.465475734
Median Absolute Deviation (MAD)0
Skewness15.01410842
Sum191142
Variance4.506206727
MonotonicityNot monotonic
2024-11-14T14:15:12.317251image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 107849
 
18.3%
2 12241
 
2.1%
3 4206
 
0.7%
4 2078
 
0.4%
5 1193
 
0.2%
6 733
 
0.1%
7 493
 
0.1%
8 362
 
0.1%
9 240
 
< 0.1%
10 174
 
< 0.1%
Other values (56) 861
 
0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 6
 
< 0.1%
1 107849
18.3%
2 12241
 
2.1%
3 4206
 
0.7%
4 2078
 
0.4%
ValueCountFrequency (%)
65 1
 
< 0.1%
64 3
 
< 0.1%
63 3
 
< 0.1%
62 13
< 0.1%
61 8
< 0.1%

V231
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct294
Distinct (%)0.2%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.7655064019
Minimum0
Maximum293
Zeros112885
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:12.477261image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum293
Range293
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.877118567
Coefficient of variation (CV)11.59640017
Kurtosis661.4549601
Mean0.7655064019
Median Absolute Deviation (MAD)0
Skewness24.594675
Sum99845
Variance78.80323405
MonotonicityNot monotonic
2024-11-14T14:15:12.622251image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 112885
 
19.1%
1 7478
 
1.3%
2 3785
 
0.6%
3 2057
 
0.3%
4 1198
 
0.2%
5 691
 
0.1%
6 478
 
0.1%
7 358
 
0.1%
8 248
 
< 0.1%
9 177
 
< 0.1%
Other values (284) 1075
 
0.2%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 112885
19.1%
1 7478
 
1.3%
2 3785
 
0.6%
3 2057
 
0.3%
4 1198
 
0.2%
ValueCountFrequency (%)
293 1
 
< 0.1%
292 1
 
< 0.1%
291 5
< 0.1%
290 2
 
< 0.1%
289 1
 
< 0.1%

V232
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct338
Distinct (%)0.3%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.005596872
Minimum0
Maximum337
Zeros110617
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:12.819323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum337
Range337
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.460253
Coefficient of variation (CV)10.40203415
Kurtosis597.6741693
Mean1.005596872
Median Absolute Deviation (MAD)0
Skewness23.17682796
Sum131160
Variance109.4168928
MonotonicityNot monotonic
2024-11-14T14:15:12.988965image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110617
 
18.7%
1 7593
 
1.3%
2 4087
 
0.7%
3 2352
 
0.4%
4 1479
 
0.3%
5 896
 
0.2%
6 640
 
0.1%
7 474
 
0.1%
8 332
 
0.1%
9 238
 
< 0.1%
Other values (328) 1722
 
0.3%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 110617
18.7%
1 7593
 
1.3%
2 4087
 
0.7%
3 2352
 
0.4%
4 1479
 
0.3%
ValueCountFrequency (%)
337 1
< 0.1%
336 1
< 0.1%
335 1
< 0.1%
334 1
< 0.1%
333 1
< 0.1%

V233
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct333
Distinct (%)0.3%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.9083876409
Minimum0
Maximum332
Zeros111756
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:13.169116image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum332
Range332
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.14988393
Coefficient of variation (CV)11.1735161
Kurtosis626.9624826
Mean0.9083876409
Median Absolute Deviation (MAD)0
Skewness23.88489176
Sum118481
Variance103.0201437
MonotonicityNot monotonic
2024-11-14T14:15:13.343127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111756
 
18.9%
1 7439
 
1.3%
2 3940
 
0.7%
3 2206
 
0.4%
4 1350
 
0.2%
5 800
 
0.1%
6 558
 
0.1%
7 451
 
0.1%
8 287
 
< 0.1%
9 203
 
< 0.1%
Other values (323) 1440
 
0.2%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 111756
18.9%
1 7439
 
1.3%
2 3940
 
0.7%
3 2206
 
0.4%
4 1350
 
0.2%
ValueCountFrequency (%)
332 1
< 0.1%
331 1
< 0.1%
330 1
< 0.1%
329 1
< 0.1%
328 1
< 0.1%

V234
Real number (ℝ)

MISSING  ZEROS 

Distinct122
Distinct (%)0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean2.092846637
Minimum0
Maximum121
Zeros120416
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:13.507132image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum121
Range121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.32303599
Coefficient of variation (CV)5.410351522
Kurtosis40.74614849
Mean2.092846637
Median Absolute Deviation (MAD)0
Skewness6.291483079
Sum295962
Variance128.211144
MonotonicityNot monotonic
2024-11-14T14:15:13.690030image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120416
 
20.4%
1 10620
 
1.8%
2 3670
 
0.6%
3 1168
 
0.2%
73 885
 
0.1%
4 612
 
0.1%
5 217
 
< 0.1%
6 210
 
< 0.1%
38 197
 
< 0.1%
53 129
 
< 0.1%
Other values (112) 3292
 
0.6%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 120416
20.4%
1 10620
 
1.8%
2 3670
 
0.6%
3 1168
 
0.2%
4 612
 
0.1%
ValueCountFrequency (%)
121 1
 
< 0.1%
120 8
< 0.1%
119 16
< 0.1%
118 18
< 0.1%
117 5
 
< 0.1%

V235
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.1841064172
Minimum0
Maximum23
Zeros117724
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:13.850029image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.902639384
Coefficient of variation (CV)4.902813262
Kurtosis153.3403362
Mean0.1841064172
Median Absolute Deviation (MAD)0
Skewness10.8203126
Sum24013
Variance0.8147578576
MonotonicityNot monotonic
2024-11-14T14:15:13.992673image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 117724
 
19.9%
1 8389
 
1.4%
2 2431
 
0.4%
3 865
 
0.1%
4 362
 
0.1%
15 175
 
< 0.1%
5 128
 
< 0.1%
11 97
 
< 0.1%
6 70
 
< 0.1%
12 61
 
< 0.1%
Other values (14) 128
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 117724
19.9%
1 8389
 
1.4%
2 2431
 
0.4%
3 865
 
0.1%
4 362
 
0.1%
ValueCountFrequency (%)
23 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%
19 1
< 0.1%

V236
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.3076669478
Minimum0
Maximum45
Zeros115566
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:14.159662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.152331967
Coefficient of variation (CV)6.995655472
Kurtosis244.4429186
Mean0.3076669478
Median Absolute Deviation (MAD)0
Skewness14.89399515
Sum40129
Variance4.632532896
MonotonicityNot monotonic
2024-11-14T14:15:14.327664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 115566
 
19.6%
1 9302
 
1.6%
2 2927
 
0.5%
3 1111
 
0.2%
4 468
 
0.1%
5 204
 
< 0.1%
38 182
 
< 0.1%
6 133
 
< 0.1%
7 81
 
< 0.1%
34 67
 
< 0.1%
Other values (36) 389
 
0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 115566
19.6%
1 9302
 
1.6%
2 2927
 
0.5%
3 1111
 
0.2%
4 468
 
0.1%
ValueCountFrequency (%)
45 17
< 0.1%
44 1
 
< 0.1%
43 1
 
< 0.1%
42 1
 
< 0.1%
41 1
 
< 0.1%

V237
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.2534999617
Minimum0
Maximum39
Zeros116709
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:14.488408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.716633751
Coefficient of variation (CV)6.771731797
Kurtosis275.0013785
Mean0.2534999617
Median Absolute Deviation (MAD)0
Skewness15.57600809
Sum33064
Variance2.946831435
MonotonicityNot monotonic
2024-11-14T14:15:14.641409image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 116709
 
19.8%
1 8789
 
1.5%
2 2693
 
0.5%
3 999
 
0.2%
4 394
 
0.1%
32 182
 
< 0.1%
5 167
 
< 0.1%
6 96
 
< 0.1%
28 59
 
< 0.1%
29 55
 
< 0.1%
Other values (30) 287
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 116709
19.8%
1 8789
 
1.5%
2 2693
 
0.5%
3 999
 
0.2%
4 394
 
0.1%
ValueCountFrequency (%)
39 17
< 0.1%
38 1
 
< 0.1%
37 1
 
< 0.1%
36 1
 
< 0.1%
35 1
 
< 0.1%

V238
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean0.1279558183
Minimum0
Maximum23
Zeros130158
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:14.795419image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5746574282
Coefficient of variation (CV)4.491061336
Kurtosis202.021253
Mean0.1279558183
Median Absolute Deviation (MAD)0
Skewness10.16795077
Sum18095
Variance0.3302311598
MonotonicityNot monotonic
2024-11-14T14:15:15.679340image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 130158
 
22.0%
1 7471
 
1.3%
2 2368
 
0.4%
3 796
 
0.1%
4 328
 
0.1%
5 110
 
< 0.1%
6 59
 
< 0.1%
7 30
 
< 0.1%
8 28
 
< 0.1%
11 20
 
< 0.1%
Other values (14) 48
 
< 0.1%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 130158
22.0%
1 7471
 
1.3%
2 2368
 
0.4%
3 796
 
0.1%
4 328
 
0.1%
ValueCountFrequency (%)
23 2
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 2
< 0.1%
19 1
< 0.1%

V239
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean0.1369646999
Minimum0
Maximum23
Zeros129713
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:15.820323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6162603034
Coefficient of variation (CV)4.49940973
Kurtosis188.8329456
Mean0.1369646999
Median Absolute Deviation (MAD)0
Skewness10.1857972
Sum19369
Variance0.3797767615
MonotonicityNot monotonic
2024-11-14T14:15:15.959776image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 129713
 
22.0%
1 7645
 
1.3%
2 2483
 
0.4%
3 863
 
0.1%
4 349
 
0.1%
5 125
 
< 0.1%
6 69
 
< 0.1%
7 34
 
< 0.1%
8 34
 
< 0.1%
9 29
 
< 0.1%
Other values (14) 72
 
< 0.1%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 129713
22.0%
1 7645
 
1.3%
2 2483
 
0.4%
3 863
 
0.1%
4 349
 
0.1%
ValueCountFrequency (%)
23 2
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 2
< 0.1%
19 1
< 0.1%

V240
Real number (ℝ)

MISSING  SKEWED 

Distinct6
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.000996703
Minimum0
Maximum7
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:16.089782image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04952220389
Coefficient of variation (CV)0.04947289409
Kurtosis8047.356089
Mean1.000996703
Median Absolute Deviation (MAD)0
Skewness80.1141236
Sum130560
Variance0.002452448678
MonotonicityNot monotonic
2024-11-14T14:15:16.225783image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 130330
 
22.1%
2 88
 
< 0.1%
6 5
 
< 0.1%
0 3
 
< 0.1%
5 2
 
< 0.1%
7 2
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 130330
22.1%
2 88
 
< 0.1%
5 2
 
< 0.1%
6 5
 
< 0.1%
ValueCountFrequency (%)
7 2
 
< 0.1%
6 5
 
< 0.1%
5 2
 
< 0.1%
2 88
 
< 0.1%
1 130330
22.1%

V241
Real number (ℝ)

MISSING  SKEWED 

Distinct5
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.000237675
Minimum0
Maximum5
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:16.353062image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02266347172
Coefficient of variation (CV)0.02265808645
Kurtosis13100.56149
Mean1.000237675
Median Absolute Deviation (MAD)0
Skewness91.52056731
Sum130461
Variance0.0005136329502
MonotonicityNot monotonic
2024-11-14T14:15:16.474058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 130394
 
22.1%
2 27
 
< 0.1%
0 6
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 6
 
< 0.1%
1 130394
22.1%
2 27
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 2
 
< 0.1%
2 27
 
< 0.1%
1 130394
22.1%
0 6
 
< 0.1%

V242
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.11346316
Minimum0
Maximum20
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:16.592293image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6601102696
Coefficient of variation (CV)0.5928442836
Kurtosis178.0171618
Mean1.11346316
Median Absolute Deviation (MAD)0
Skewness11.23111204
Sum145229
Variance0.435745568
MonotonicityNot monotonic
2024-11-14T14:15:16.734303image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 122640
 
20.8%
2 5218
 
0.9%
3 1164
 
0.2%
4 480
 
0.1%
5 281
 
< 0.1%
6 195
 
< 0.1%
7 150
 
< 0.1%
8 89
 
< 0.1%
9 60
 
< 0.1%
10 34
 
< 0.1%
Other values (11) 119
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 8
 
< 0.1%
1 122640
20.8%
2 5218
 
0.9%
3 1164
 
0.2%
4 480
 
0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
19 3
 
< 0.1%
18 4
 
< 0.1%
17 6
 
< 0.1%
16 15
< 0.1%

V243
Real number (ℝ)

MISSING  SKEWED 

Distinct43
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.178386874
Minimum0
Maximum57
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:16.892303image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.398952603
Coefficient of variation (CV)1.18717599
Kurtosis839.3138584
Mean1.178386874
Median Absolute Deviation (MAD)0
Skewness25.53294437
Sum153697
Variance1.957068387
MonotonicityNot monotonic
2024-11-14T14:15:17.055445image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 120245
 
20.4%
2 6719
 
1.1%
3 1536
 
0.3%
4 669
 
0.1%
5 351
 
0.1%
6 235
 
< 0.1%
7 168
 
< 0.1%
8 124
 
< 0.1%
9 80
 
< 0.1%
10 45
 
< 0.1%
Other values (33) 258
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 6
 
< 0.1%
1 120245
20.4%
2 6719
 
1.1%
3 1536
 
0.3%
4 669
 
0.1%
ValueCountFrequency (%)
57 5
< 0.1%
56 1
 
< 0.1%
55 3
< 0.1%
54 2
 
< 0.1%
53 4
< 0.1%

V244
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.118561681
Minimum0
Maximum22
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:17.258260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6988070497
Coefficient of variation (CV)0.6247371618
Kurtosis185.2040619
Mean1.118561681
Median Absolute Deviation (MAD)0
Skewness11.48195048
Sum145894
Variance0.4883312927
MonotonicityNot monotonic
2024-11-14T14:15:17.417186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 122583
 
20.8%
2 5139
 
0.9%
3 1223
 
0.2%
4 481
 
0.1%
5 305
 
0.1%
6 219
 
< 0.1%
7 146
 
< 0.1%
8 74
 
< 0.1%
9 66
 
< 0.1%
10 46
 
< 0.1%
Other values (13) 148
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 8
 
< 0.1%
1 122583
20.8%
2 5139
 
0.9%
3 1223
 
0.2%
4 481
 
0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
21 1
 
< 0.1%
20 3
< 0.1%
19 3
< 0.1%
18 7
< 0.1%

V245
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct58
Distinct (%)< 0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean0.8766193359
Minimum0
Maximum262
Zeros32341
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:17.569192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum262
Range262
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.821064686
Coefficient of variation (CV)2.077372255
Kurtosis8100.603662
Mean0.8766193359
Median Absolute Deviation (MAD)0
Skewness76.51329347
Sum123968
Variance3.316276591
MonotonicityNot monotonic
2024-11-14T14:15:17.759206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 102995
 
17.4%
0 32341
 
5.5%
2 4036
 
0.7%
3 971
 
0.2%
4 347
 
0.1%
5 203
 
< 0.1%
6 134
 
< 0.1%
7 116
 
< 0.1%
8 49
 
< 0.1%
9 47
 
< 0.1%
Other values (48) 177
 
< 0.1%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 32341
 
5.5%
1 102995
17.4%
2 4036
 
0.7%
3 971
 
0.2%
4 347
 
0.1%
ValueCountFrequency (%)
262 1
< 0.1%
199 1
< 0.1%
192 1
< 0.1%
187 1
< 0.1%
183 1
< 0.1%

V246
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.18372307
Minimum0
Maximum45
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:17.927188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.040362784
Coefficient of variation (CV)0.8788903507
Kurtosis346.317167
Mean1.18372307
Median Absolute Deviation (MAD)0
Skewness14.52885004
Sum154393
Variance1.082354722
MonotonicityNot monotonic
2024-11-14T14:15:18.086215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 119374
 
20.2%
2 7258
 
1.2%
3 1562
 
0.3%
4 691
 
0.1%
5 417
 
0.1%
6 299
 
0.1%
7 212
 
< 0.1%
8 123
 
< 0.1%
9 95
 
< 0.1%
10 74
 
< 0.1%
Other values (36) 325
 
0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 8
 
< 0.1%
1 119374
20.2%
2 7258
 
1.2%
3 1562
 
0.3%
4 691
 
0.1%
ValueCountFrequency (%)
45 1
< 0.1%
44 1
< 0.1%
43 1
< 0.1%
42 1
< 0.1%
41 2
< 0.1%

V247
Real number (ℝ)

MISSING  SKEWED 

Distinct19
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.025354596
Minimum0
Maximum18
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:18.222985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2816043626
Coefficient of variation (CV)0.2746409521
Kurtosis986.2315302
Mean1.025354596
Median Absolute Deviation (MAD)0
Skewness25.79046393
Sum133737
Variance0.07930101703
MonotonicityNot monotonic
2024-11-14T14:15:18.358893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 128180
 
21.7%
2 1860
 
0.3%
3 186
 
< 0.1%
4 64
 
< 0.1%
5 36
 
< 0.1%
6 23
 
< 0.1%
7 20
 
< 0.1%
8 13
 
< 0.1%
9 11
 
< 0.1%
10 10
 
< 0.1%
Other values (9) 27
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 8
 
< 0.1%
1 128180
21.7%
2 1860
 
0.3%
3 186
 
< 0.1%
4 64
 
< 0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
17 1
 
< 0.1%
16 5
< 0.1%
15 2
 
< 0.1%
14 1
 
< 0.1%

V248
Real number (ℝ)

MISSING  SKEWED 

Distinct23
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.069493215
Minimum0
Maximum36
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:18.497895image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8883414448
Coefficient of variation (CV)0.8306190563
Kurtosis1253.08987
Mean1.069493215
Median Absolute Deviation (MAD)0
Skewness33.60335254
Sum139494
Variance0.7891505225
MonotonicityNot monotonic
2024-11-14T14:15:18.625884image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 125554
 
21.3%
2 3956
 
0.7%
3 499
 
0.1%
4 180
 
< 0.1%
5 77
 
< 0.1%
35 58
 
< 0.1%
6 32
 
< 0.1%
7 14
 
< 0.1%
8 14
 
< 0.1%
34 10
 
< 0.1%
Other values (13) 36
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 125554
21.3%
2 3956
 
0.7%
3 499
 
0.1%
4 180
 
< 0.1%
ValueCountFrequency (%)
36 5
 
< 0.1%
35 58
< 0.1%
34 10
 
< 0.1%
33 5
 
< 0.1%
18 1
 
< 0.1%

V249
Real number (ℝ)

MISSING  SKEWED 

Distinct23
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.042850571
Minimum0
Maximum22
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:18.767875image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5288124684
Coefficient of variation (CV)0.5070836446
Kurtosis1016.766184
Mean1.042850571
Median Absolute Deviation (MAD)0
Skewness29.55408607
Sum136019
Variance0.2796426267
MonotonicityNot monotonic
2024-11-14T14:15:18.912877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 127197
 
21.5%
2 2631
 
0.4%
3 314
 
0.1%
4 121
 
< 0.1%
5 40
 
< 0.1%
19 29
 
< 0.1%
21 21
 
< 0.1%
6 18
 
< 0.1%
20 15
 
< 0.1%
7 7
 
< 0.1%
Other values (13) 37
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 6
 
< 0.1%
1 127197
21.5%
2 2631
 
0.4%
3 314
 
0.1%
4 121
 
< 0.1%
ValueCountFrequency (%)
22 5
 
< 0.1%
21 21
< 0.1%
20 15
< 0.1%
19 29
< 0.1%
18 4
 
< 0.1%

V250
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean0.7885882786
Minimum0
Maximum18
Zeros32341
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:19.090875image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.488385948
Coefficient of variation (CV)0.6193167731
Kurtosis107.1064254
Mean0.7885882786
Median Absolute Deviation (MAD)0
Skewness3.358312731
Sum111519
Variance0.2385208342
MonotonicityNot monotonic
2024-11-14T14:15:19.262879image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 107386
 
18.2%
0 32341
 
5.5%
2 1365
 
0.2%
3 196
 
< 0.1%
4 65
 
< 0.1%
5 20
 
< 0.1%
6 12
 
< 0.1%
16 6
 
< 0.1%
7 4
 
< 0.1%
11 3
 
< 0.1%
Other values (9) 18
 
< 0.1%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 32341
 
5.5%
1 107386
18.2%
2 1365
 
0.2%
3 196
 
< 0.1%
4 65
 
< 0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
17 2
 
< 0.1%
16 6
< 0.1%
15 2
 
< 0.1%
14 1
 
< 0.1%

V251
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean0.7942312044
Minimum0
Maximum18
Zeros32264
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:19.475399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5012400831
Coefficient of variation (CV)0.6311009695
Kurtosis101.25733
Mean0.7942312044
Median Absolute Deviation (MAD)0
Skewness3.48370996
Sum112317
Variance0.2512416209
MonotonicityNot monotonic
2024-11-14T14:15:19.684040image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 106932
 
18.1%
0 32264
 
5.5%
2 1806
 
0.3%
3 240
 
< 0.1%
4 88
 
< 0.1%
6 25
 
< 0.1%
5 25
 
< 0.1%
16 6
 
< 0.1%
7 6
 
< 0.1%
8 4
 
< 0.1%
Other values (9) 20
 
< 0.1%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 32264
 
5.5%
1 106932
18.1%
2 1806
 
0.3%
3 240
 
< 0.1%
4 88
 
< 0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
17 2
 
< 0.1%
16 6
< 0.1%
15 2
 
< 0.1%
14 1
 
< 0.1%

V252
Real number (ℝ)

MISSING  SKEWED 

Distinct25
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.032047842
Minimum0
Maximum24
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:19.887579image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3895455055
Coefficient of variation (CV)0.3774490772
Kurtosis950.8003766
Mean1.032047842
Median Absolute Deviation (MAD)0
Skewness26.33989262
Sum134610
Variance0.1517457009
MonotonicityNot monotonic
2024-11-14T14:15:20.073580image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 128186
 
21.7%
2 1613
 
0.3%
3 282
 
< 0.1%
4 130
 
< 0.1%
5 54
 
< 0.1%
6 31
 
< 0.1%
7 27
 
< 0.1%
8 20
 
< 0.1%
10 13
 
< 0.1%
9 13
 
< 0.1%
Other values (15) 61
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 8
 
< 0.1%
1 128186
21.7%
2 1613
 
0.3%
3 282
 
< 0.1%
4 130
 
< 0.1%
ValueCountFrequency (%)
24 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%

V253
Real number (ℝ)

MISSING  SKEWED 

Distinct66
Distinct (%)0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.162163613
Minimum0
Maximum163
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:20.280577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum163
Range163
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.612553322
Coefficient of variation (CV)3.108472234
Kurtosis1586.328898
Mean1.162163613
Median Absolute Deviation (MAD)0
Skewness39.22384785
Sum151581
Variance13.0505415
MonotonicityNot monotonic
2024-11-14T14:15:20.524580image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 125102
 
21.2%
2 3748
 
0.6%
3 718
 
0.1%
4 295
 
< 0.1%
5 175
 
< 0.1%
6 89
 
< 0.1%
7 60
 
< 0.1%
8 28
 
< 0.1%
9 26
 
< 0.1%
10 15
 
< 0.1%
Other values (56) 174
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 125102
21.2%
2 3748
 
0.6%
3 718
 
0.1%
4 295
 
< 0.1%
ValueCountFrequency (%)
163 5
< 0.1%
162 3
< 0.1%
161 4
< 0.1%
160 1
 
< 0.1%
159 1
 
< 0.1%

V254
Real number (ℝ)

MISSING  SKEWED 

Distinct45
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.075113087
Minimum0
Maximum60
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:20.796578image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum60
Range60
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.357550098
Coefficient of variation (CV)1.262704467
Kurtosis1434.099373
Mean1.075113087
Median Absolute Deviation (MAD)0
Skewness36.52759872
Sum140227
Variance1.842942268
MonotonicityNot monotonic
2024-11-14T14:15:20.996580image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 126996
 
21.5%
2 2448
 
0.4%
3 451
 
0.1%
4 210
 
< 0.1%
5 68
 
< 0.1%
6 46
 
< 0.1%
7 30
 
< 0.1%
9 24
 
< 0.1%
8 21
 
< 0.1%
10 11
 
< 0.1%
Other values (35) 125
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 6
 
< 0.1%
1 126996
21.5%
2 2448
 
0.4%
3 451
 
0.1%
4 210
 
< 0.1%
ValueCountFrequency (%)
60 8
< 0.1%
59 8
< 0.1%
58 8
< 0.1%
57 11
< 0.1%
56 4
 
< 0.1%

V255
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct46
Distinct (%)< 0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean0.8066555411
Minimum0
Maximum87
Zeros32341
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:21.244576image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum87
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9391242516
Coefficient of variation (CV)1.164219675
Kurtosis3068.93191
Mean0.8066555411
Median Absolute Deviation (MAD)0
Skewness43.93638702
Sum114074
Variance0.8819543599
MonotonicityNot monotonic
2024-11-14T14:15:21.467576image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 107128
 
18.1%
0 32341
 
5.5%
2 1369
 
0.2%
3 277
 
< 0.1%
4 116
 
< 0.1%
5 42
 
< 0.1%
7 34
 
< 0.1%
6 19
 
< 0.1%
8 11
 
< 0.1%
9 9
 
< 0.1%
Other values (36) 70
 
< 0.1%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 32341
 
5.5%
1 107128
18.1%
2 1369
 
0.2%
3 277
 
< 0.1%
4 116
 
< 0.1%
ValueCountFrequency (%)
87 1
< 0.1%
82 2
< 0.1%
80 1
< 0.1%
73 1
< 0.1%
72 1
< 0.1%

V256
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct48
Distinct (%)< 0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean0.8149502178
Minimum0
Maximum87
Zeros32264
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:21.732832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum87
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9699528274
Coefficient of variation (CV)1.190198869
Kurtosis2823.346567
Mean0.8149502178
Median Absolute Deviation (MAD)0
Skewness41.82977041
Sum115247
Variance0.9408084874
MonotonicityNot monotonic
2024-11-14T14:15:21.972958image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 106671
 
18.1%
0 32264
 
5.5%
2 1764
 
0.3%
3 317
 
0.1%
4 158
 
< 0.1%
5 52
 
< 0.1%
7 34
 
< 0.1%
6 31
 
< 0.1%
11 16
 
< 0.1%
9 14
 
< 0.1%
Other values (38) 95
 
< 0.1%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 32264
 
5.5%
1 106671
18.1%
2 1764
 
0.3%
3 317
 
0.1%
4 158
 
< 0.1%
ValueCountFrequency (%)
87 1
< 0.1%
82 2
< 0.1%
80 1
< 0.1%
74 1
< 0.1%
73 1
< 0.1%

V257
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.25099287
Minimum0
Maximum48
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:22.169960image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.299956464
Coefficient of variation (CV)1.039139787
Kurtosis272.9021379
Mean1.25099287
Median Absolute Deviation (MAD)0
Skewness13.35073777
Sum163167
Variance1.689886808
MonotonicityNot monotonic
2024-11-14T14:15:22.369966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 115835
 
19.6%
2 9578
 
1.6%
3 2196
 
0.4%
4 843
 
0.1%
5 489
 
0.1%
6 325
 
0.1%
7 239
 
< 0.1%
8 168
 
< 0.1%
9 134
 
< 0.1%
10 106
 
< 0.1%
Other values (39) 517
 
0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 8
 
< 0.1%
1 115835
19.6%
2 9578
 
1.6%
3 2196
 
0.4%
4 843
 
0.1%
ValueCountFrequency (%)
48 1
< 0.1%
47 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%
44 2
< 0.1%

V258
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.343509929
Minimum0
Maximum66
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:22.549976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum66
Range66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.015810855
Coefficient of variation (CV)1.50040637
Kurtosis416.4541475
Mean1.343509929
Median Absolute Deviation (MAD)0
Skewness17.4251716
Sum175234
Variance4.063493404
MonotonicityNot monotonic
2024-11-14T14:15:22.716966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 112953
 
19.1%
2 11247
 
1.9%
3 2696
 
0.5%
4 1062
 
0.2%
5 569
 
0.1%
6 368
 
0.1%
7 280
 
< 0.1%
8 214
 
< 0.1%
9 147
 
< 0.1%
10 128
 
< 0.1%
Other values (57) 766
 
0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 6
 
< 0.1%
1 112953
19.1%
2 11247
 
1.9%
3 2696
 
0.5%
4 1062
 
0.2%
ValueCountFrequency (%)
66 1
 
< 0.1%
65 3
< 0.1%
64 3
< 0.1%
63 7
< 0.1%
62 7
< 0.1%

V259
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)< 0.1%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean0.9678324942
Minimum0
Maximum285
Zeros32341
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:22.876980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum285
Range285
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.113447331
Coefficient of variation (CV)2.183691231
Kurtosis5824.265642
Mean0.9678324942
Median Absolute Deviation (MAD)0
Skewness60.74790126
Sum136867
Variance4.466659619
MonotonicityNot monotonic
2024-11-14T14:15:23.054967image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 97473
 
16.5%
0 32341
 
5.5%
2 7884
 
1.3%
3 1651
 
0.3%
4 639
 
0.1%
5 412
 
0.1%
6 213
 
< 0.1%
7 163
 
< 0.1%
8 99
 
< 0.1%
9 92
 
< 0.1%
Other values (58) 449
 
0.1%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 32341
 
5.5%
1 97473
16.5%
2 7884
 
1.3%
3 1651
 
0.3%
4 639
 
0.1%
ValueCountFrequency (%)
285 1
< 0.1%
210 1
< 0.1%
201 1
< 0.1%
195 2
< 0.1%
185 1
< 0.1%

V260
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.9644253623
Minimum0
Maximum8
Zeros10040
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:23.201965image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.379828322
Coefficient of variation (CV)0.3938390018
Kurtosis23.2622532
Mean0.9644253623
Median Absolute Deviation (MAD)0
Skewness1.687691208
Sum125790
Variance0.1442695542
MonotonicityNot monotonic
2024-11-14T14:15:23.389955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 116252
 
19.7%
0 10040
 
1.7%
2 3254
 
0.6%
3 607
 
0.1%
4 200
 
< 0.1%
5 58
 
< 0.1%
6 15
 
< 0.1%
7 3
 
< 0.1%
8 1
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 10040
 
1.7%
1 116252
19.7%
2 3254
 
0.6%
3 607
 
0.1%
4 200
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 3
 
< 0.1%
6 15
 
< 0.1%
5 58
 
< 0.1%
4 200
< 0.1%

V261
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct41
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.107160929
Minimum0
Maximum49
Zeros9388
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:23.558974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.323230484
Coefficient of variation (CV)1.195156413
Kurtosis604.4820486
Mean1.107160929
Median Absolute Deviation (MAD)0
Skewness20.73646489
Sum144407
Variance1.750938915
MonotonicityNot monotonic
2024-11-14T14:15:23.777962image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 110560
 
18.7%
0 9388
 
1.6%
2 6984
 
1.2%
3 1611
 
0.3%
4 655
 
0.1%
5 267
 
< 0.1%
7 224
 
< 0.1%
8 173
 
< 0.1%
6 167
 
< 0.1%
9 132
 
< 0.1%
Other values (31) 269
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 9388
 
1.6%
1 110560
18.7%
2 6984
 
1.2%
3 1611
 
0.3%
4 655
 
0.1%
ValueCountFrequency (%)
49 4
 
< 0.1%
48 2
 
< 0.1%
47 7
< 0.1%
46 11
< 0.1%
45 7
< 0.1%

V262
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean1.013279154
Minimum0
Maximum20
Zeros9751
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:23.965061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6254547786
Coefficient of variation (CV)0.6172581134
Kurtosis222.7478368
Mean1.013279154
Median Absolute Deviation (MAD)0
Skewness10.74605475
Sum132162
Variance0.3911936801
MonotonicityNot monotonic
2024-11-14T14:15:24.182902image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 113703
 
19.3%
0 9751
 
1.7%
2 5085
 
0.9%
3 1004
 
0.2%
4 456
 
0.1%
5 170
 
< 0.1%
6 82
 
< 0.1%
7 26
 
< 0.1%
8 25
 
< 0.1%
16 20
 
< 0.1%
Other values (11) 108
 
< 0.1%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 9751
 
1.7%
1 113703
19.3%
2 5085
 
0.9%
3 1004
 
0.2%
4 456
 
0.1%
ValueCountFrequency (%)
20 4
 
< 0.1%
19 7
 
< 0.1%
18 1
 
< 0.1%
17 5
 
< 0.1%
16 20
< 0.1%

V263
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct10422
Distinct (%)8.0%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean117.3906764
Minimum0
Maximum153600
Zeros98285
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:24.356902image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile300
Maximum153600
Range153600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1294.851543
Coefficient of variation (CV)11.03027585
Kurtosis2770.87618
Mean117.3906764
Median Absolute Deviation (MAD)0
Skewness38.68882555
Sum15311265.92
Variance1676640.519
MonotonicityNot monotonic
2024-11-14T14:15:24.533907image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98285
 
16.6%
100 2175
 
0.4%
200 1494
 
0.3%
50 1412
 
0.2%
150 1258
 
0.2%
300 1053
 
0.2%
400 584
 
0.1%
25 530
 
0.1%
75 481
 
0.1%
600 460
 
0.1%
Other values (10412) 22698
 
3.8%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 98285
16.6%
0.2915000021 1
 
< 0.1%
0.423999995 1
 
< 0.1%
0.5830000043 1
 
< 0.1%
0.8781999946 10
 
< 0.1%
ValueCountFrequency (%)
153600 1
< 0.1%
104060 1
< 0.1%
102400 1
< 0.1%
101640 1
< 0.1%
64800 1
< 0.1%

V264
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct13358
Distinct (%)10.2%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean201.6576173
Minimum0
Maximum153600
Zeros90334
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:24.690922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q333.59349823
95-th percentile400
Maximum153600
Range153600
Interquartile range (IQR)33.59349823

Descriptive statistics

Standard deviation2284.827492
Coefficient of variation (CV)11.33023152
Kurtosis757.5524048
Mean201.6576173
Median Absolute Deviation (MAD)0
Skewness24.49703507
Sum26302203.03
Variance5220436.668
MonotonicityNot monotonic
2024-11-14T14:15:24.855922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90334
 
15.3%
100 2462
 
0.4%
50 1660
 
0.3%
200 1613
 
0.3%
150 1363
 
0.2%
300 1141
 
0.2%
25 698
 
0.1%
400 648
 
0.1%
75 575
 
0.1%
250 541
 
0.1%
Other values (13348) 29395
 
5.0%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 90334
15.3%
0.2915000021 1
 
< 0.1%
0.570299983 1
 
< 0.1%
0.5830000043 1
 
< 0.1%
0.6042000055 1
 
< 0.1%
ValueCountFrequency (%)
153600 1
< 0.1%
104060 1
< 0.1%
102400 1
< 0.1%
101640 1
< 0.1%
76000 1
< 0.1%

V265
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11757
Distinct (%)9.0%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean153.5205344
Minimum0
Maximum153600
Zeros94337
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:25.097907image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320.89752531
95-th percentile350
Maximum153600
Range153600
Interquartile range (IQR)20.89752531

Descriptive statistics

Standard deviation1605.512276
Coefficient of variation (CV)10.45796435
Kurtosis1356.924983
Mean153.5205344
Median Absolute Deviation (MAD)0
Skewness28.09138595
Sum20023683.31
Variance2577669.668
MonotonicityNot monotonic
2024-11-14T14:15:25.325906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 94337
 
16.0%
100 2335
 
0.4%
50 1572
 
0.3%
200 1551
 
0.3%
150 1316
 
0.2%
300 1108
 
0.2%
400 621
 
0.1%
25 619
 
0.1%
75 538
 
0.1%
250 507
 
0.1%
Other values (11747) 25926
 
4.4%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 94337
16.0%
0.1000000015 1
 
< 0.1%
0.2899999917 1
 
< 0.1%
0.2915000021 2
 
< 0.1%
0.570299983 1
 
< 0.1%
ValueCountFrequency (%)
153600 1
< 0.1%
104060 1
< 0.1%
102400 1
< 0.1%
101640 1
< 0.1%
64800 1
< 0.1%

V266
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2178
Distinct (%)1.7%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean9.167838684
Minimum0
Maximum55125
Zeros120515
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:25.501912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28.65663919
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation208.0388632
Coefficient of variation (CV)22.69224736
Kurtosis41661.63765
Mean9.167838684
Median Absolute Deviation (MAD)0
Skewness175.9587724
Sum1195761.199
Variance43280.1686
MonotonicityNot monotonic
2024-11-14T14:15:25.673719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120515
 
20.4%
50 391
 
0.1%
100 343
 
0.1%
25 202
 
< 0.1%
150 173
 
< 0.1%
106 165
 
< 0.1%
181 146
 
< 0.1%
20 123
 
< 0.1%
200 111
 
< 0.1%
15 101
 
< 0.1%
Other values (2168) 8160
 
1.4%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 120515
20.4%
0.2915000021 7
 
< 0.1%
1.17019999 5
 
< 0.1%
1.738399982 1
 
< 0.1%
1.860299945 1
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12500 1
< 0.1%
12307.5 2
< 0.1%
11000 1
< 0.1%

V267
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3616
Distinct (%)2.8%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean36.52510271
Minimum0
Maximum55125
Zeros112053
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:25.911723image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile76.60877762
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation644.8785859
Coefficient of variation (CV)17.65576379
Kurtosis1643.928784
Mean36.52510271
Median Absolute Deviation (MAD)0
Skewness38.00683183
Sum4763969.146
Variance415868.3906
MonotonicityNot monotonic
2024-11-14T14:15:26.145723image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 112053
 
19.0%
100 761
 
0.1%
50 740
 
0.1%
25 397
 
0.1%
150 341
 
0.1%
1259 328
 
0.1%
200 299
 
0.1%
20 266
 
< 0.1%
75 259
 
< 0.1%
30 254
 
< 0.1%
Other values (3606) 14732
 
2.5%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 112053
19.0%
0.2915000021 9
 
< 0.1%
0.4981999993 2
 
< 0.1%
0.570299983 1
 
< 0.1%
0.7300000191 1
 
< 0.1%
ValueCountFrequency (%)
55125 1
 
< 0.1%
30250 1
 
< 0.1%
27000 1
 
< 0.1%
26925 1
 
< 0.1%
26900 3
< 0.1%

V268
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2756
Distinct (%)2.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean18.81340678
Minimum0
Maximum55125
Zeros116323
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:26.314865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile50
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation311.2801809
Coefficient of variation (CV)16.54565729
Kurtosis8841.490179
Mean18.81340678
Median Absolute Deviation (MAD)0
Skewness69.16536552
Sum2453832.646
Variance96895.35103
MonotonicityNot monotonic
2024-11-14T14:15:26.466875image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116323
 
19.7%
50 587
 
0.1%
100 549
 
0.1%
25 339
 
0.1%
619 328
 
0.1%
150 265
 
< 0.1%
30 230
 
< 0.1%
20 218
 
< 0.1%
15 206
 
< 0.1%
200 194
 
< 0.1%
Other values (2746) 11191
 
1.9%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 116323
19.7%
0.1000000015 1
 
< 0.1%
0.2899999917 1
 
< 0.1%
0.2915000021 9
 
< 0.1%
0.570299983 1
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12550 1
< 0.1%
12500 2
< 0.1%
12307.5 2
< 0.1%

V269
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct151
Distinct (%)0.1%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean5.997508242
Minimum0
Maximum55125
Zeros128257
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:26.606874image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation207.3175393
Coefficient of variation (CV)34.56727876
Kurtosis42255.37805
Mean5.997508242
Median Absolute Deviation (MAD)0
Skewness177.8389509
Sum782255
Variance42980.5621
MonotonicityNot monotonic
2024-11-14T14:15:26.763880image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128257
 
21.7%
100 212
 
< 0.1%
106 165
 
< 0.1%
181 146
 
< 0.1%
50 138
 
< 0.1%
150 110
 
< 0.1%
20 90
 
< 0.1%
25 90
 
< 0.1%
1000 88
 
< 0.1%
10 83
 
< 0.1%
Other values (141) 1051
 
0.2%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 128257
21.7%
5 50
 
< 0.1%
6 5
 
< 0.1%
7 6
 
< 0.1%
7.5 19
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12500 1
< 0.1%
12307.5 2
< 0.1%
11000 1
< 0.1%

V270
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2340
Distinct (%)1.7%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean7.712763703
Minimum0
Maximum4000
Zeros128634
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:26.931875image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile36.05179977
Maximum4000
Range4000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65.50723159
Coefficient of variation (CV)8.493353889
Kurtosis1559.372775
Mean7.712763703
Median Absolute Deviation (MAD)0
Skewness32.76660109
Sum1090708.192
Variance4291.197391
MonotonicityNot monotonic
2024-11-14T14:15:27.124861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128634
 
21.8%
50 674
 
0.1%
100 660
 
0.1%
25 351
 
0.1%
150 272
 
< 0.1%
20 245
 
< 0.1%
15 243
 
< 0.1%
200 223
 
< 0.1%
30 205
 
< 0.1%
75 177
 
< 0.1%
Other values (2330) 9732
 
1.6%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 128634
21.8%
0.2915000021 7
 
< 0.1%
1.17019999 5
 
< 0.1%
1.738399982 1
 
< 0.1%
1.860299945 1
 
< 0.1%
ValueCountFrequency (%)
4000 10
< 0.1%
3300 1
 
< 0.1%
3084.25 1
 
< 0.1%
3000 11
< 0.1%
2246.25 1
 
< 0.1%

V271
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2787
Distinct (%)2.0%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean9.445132757
Minimum0
Maximum4000
Zeros128066
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:27.313858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile44.30799866
Maximum4000
Range4000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74.14772554
Coefficient of variation (CV)7.85036351
Kurtosis1044.546579
Mean9.445132757
Median Absolute Deviation (MAD)0
Skewness26.44625737
Sum1335692.894
Variance5497.885203
MonotonicityNot monotonic
2024-11-14T14:15:27.504857image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128066
 
21.7%
100 642
 
0.1%
50 639
 
0.1%
25 323
 
0.1%
150 273
 
< 0.1%
200 239
 
< 0.1%
75 203
 
< 0.1%
20 199
 
< 0.1%
30 173
 
< 0.1%
10 154
 
< 0.1%
Other values (2777) 10505
 
1.8%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 128066
21.7%
0.2915000021 7
 
< 0.1%
0.4981999993 4
 
< 0.1%
1.17019999 5
 
< 0.1%
1.738399982 1
 
< 0.1%
ValueCountFrequency (%)
4000 10
< 0.1%
3300 1
 
< 0.1%
3084.25 1
 
< 0.1%
3000 13
< 0.1%
2715.060059 1
 
< 0.1%

V272
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2507
Distinct (%)1.8%
Missing449124
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean8.46457109
Minimum0
Maximum4000
Zeros128436
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:27.677856image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile40
Maximum4000
Range4000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation69.72373486
Coefficient of variation (CV)8.237125558
Kurtosis1285.133071
Mean8.46457109
Median Absolute Deviation (MAD)0
Skewness29.56880712
Sum1197025.785
Variance4861.399203
MonotonicityNot monotonic
2024-11-14T14:15:27.855867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128436
 
21.7%
100 711
 
0.1%
50 653
 
0.1%
25 344
 
0.1%
150 265
 
< 0.1%
200 240
 
< 0.1%
20 195
 
< 0.1%
30 193
 
< 0.1%
75 192
 
< 0.1%
10 164
 
< 0.1%
Other values (2497) 10023
 
1.7%
(Missing) 449124
76.1%
ValueCountFrequency (%)
0 128436
21.7%
0.2915000021 7
 
< 0.1%
0.4981999993 4
 
< 0.1%
1.17019999 5
 
< 0.1%
1.738399982 1
 
< 0.1%
ValueCountFrequency (%)
4000 10
< 0.1%
3300 1
 
< 0.1%
3084.25 1
 
< 0.1%
3000 13
< 0.1%
2250 1
 
< 0.1%

V273
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7177
Distinct (%)5.5%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean73.82554901
Minimum0
Maximum51200
Zeros112885
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:28.047865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150.9927643
Maximum51200
Range51200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation935.1879274
Coefficient of variation (CV)12.66753773
Kurtosis641.7025553
Mean73.82554901
Median Absolute Deviation (MAD)0
Skewness23.65961452
Sum9629066.358
Variance874576.4595
MonotonicityNot monotonic
2024-11-14T14:15:28.217670image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 112885
 
19.1%
100 976
 
0.2%
200 650
 
0.1%
150 642
 
0.1%
50 637
 
0.1%
300 523
 
0.1%
75 234
 
< 0.1%
400 229
 
< 0.1%
25 210
 
< 0.1%
600 197
 
< 0.1%
Other values (7167) 13247
 
2.2%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 112885
19.1%
0.2915000021 1
 
< 0.1%
0.423999995 1
 
< 0.1%
0.6413000226 1
 
< 0.1%
0.8781999946 10
 
< 0.1%
ValueCountFrequency (%)
51200 1
 
< 0.1%
29997 1
 
< 0.1%
29887 1
 
< 0.1%
29785 4
< 0.1%
29777 1
 
< 0.1%

V274
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8315
Distinct (%)6.4%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean107.1516363
Minimum0
Maximum66000
Zeros110617
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:28.405262image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile200
Maximum66000
Range66000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1258.734139
Coefficient of variation (CV)11.74722274
Kurtosis463.5627044
Mean107.1516363
Median Absolute Deviation (MAD)0
Skewness20.14985307
Sum13975787.92
Variance1584411.633
MonotonicityNot monotonic
2024-11-14T14:15:28.579951image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110617
 
18.7%
100 974
 
0.2%
200 698
 
0.1%
150 684
 
0.1%
50 653
 
0.1%
300 567
 
0.1%
400 259
 
< 0.1%
75 239
 
< 0.1%
600 235
 
< 0.1%
25 223
 
< 0.1%
Other values (8305) 15281
 
2.6%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 110617
18.7%
0.2915000021 1
 
< 0.1%
0.6042000055 2
 
< 0.1%
0.6413000226 1
 
< 0.1%
0.8781999946 8
 
< 0.1%
ValueCountFrequency (%)
66000 1
< 0.1%
51200 1
< 0.1%
33606 1
< 0.1%
33500 1
< 0.1%
33394 1
< 0.1%

V275
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7776
Distinct (%)6.0%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean88.89993873
Minimum0
Maximum51200
Zeros111756
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:28.743928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile198.21595
Maximum51200
Range51200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1072.883139
Coefficient of variation (CV)12.06843507
Kurtosis544.3694313
Mean88.89993873
Median Absolute Deviation (MAD)0
Skewness21.93178447
Sum11595219.01
Variance1151078.229
MonotonicityNot monotonic
2024-11-14T14:15:28.910928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111756
 
18.9%
100 964
 
0.2%
200 684
 
0.1%
150 663
 
0.1%
50 639
 
0.1%
300 554
 
0.1%
400 252
 
< 0.1%
75 238
 
< 0.1%
600 225
 
< 0.1%
25 210
 
< 0.1%
Other values (7766) 14245
 
2.4%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 111756
18.9%
0.2915000021 1
 
< 0.1%
0.423999995 1
 
< 0.1%
0.6413000226 1
 
< 0.1%
0.8781999946 8
 
< 0.1%
ValueCountFrequency (%)
51200 1
< 0.1%
33181 1
< 0.1%
33075 1
< 0.1%
32969 1
< 0.1%
32863 1
< 0.1%

V276
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2263
Distinct (%)1.7%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean31.79727664
Minimum0
Maximum104060
Zeros117724
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:29.079943image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation615.6597138
Coefficient of variation (CV)19.36202653
Kurtosis15015.94079
Mean31.79727664
Median Absolute Deviation (MAD)0
Skewness108.7179692
Sum4147318.792
Variance379036.8832
MonotonicityNot monotonic
2024-11-14T14:15:29.250919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 117724
 
19.9%
100 1265
 
0.2%
200 919
 
0.2%
150 681
 
0.1%
50 650
 
0.1%
300 620
 
0.1%
400 323
 
0.1%
250 301
 
0.1%
600 272
 
< 0.1%
500 267
 
< 0.1%
Other values (2253) 7408
 
1.3%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 117724
19.9%
1.308599949 11
 
< 0.1%
1.993899941 1
 
< 0.1%
2.151799917 2
 
< 0.1%
2.257800102 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
 
< 0.1%
101640 1
 
< 0.1%
64800 1
 
< 0.1%
52030 1
 
< 0.1%
51200 3
< 0.1%

V277
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2540
Distinct (%)1.9%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean51.95664508
Minimum0
Maximum104060
Zeros115566
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:29.410925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile117.0198383
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation732.1453682
Coefficient of variation (CV)14.09146736
Kurtosis7612.279594
Mean51.95664508
Median Absolute Deviation (MAD)0
Skewness69.36961204
Sum6776705.218
Variance536036.8402
MonotonicityNot monotonic
2024-11-14T14:15:29.576828image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 115566
 
19.6%
100 1339
 
0.2%
200 969
 
0.2%
50 729
 
0.1%
150 710
 
0.1%
300 646
 
0.1%
400 360
 
0.1%
250 306
 
0.1%
600 298
 
0.1%
500 291
 
< 0.1%
Other values (2530) 9216
 
1.6%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 115566
19.6%
1.308599949 11
 
< 0.1%
1.50999999 1
 
< 0.1%
1.993899941 1
 
< 0.1%
2.119999886 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
 
< 0.1%
101640 1
 
< 0.1%
64800 1
 
< 0.1%
52030 1
 
< 0.1%
51200 3
< 0.1%

V278
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2398
Distinct (%)1.8%
Missing460110
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean42.3282281
Minimum0
Maximum104060
Zeros116709
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:29.743832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation660.6118203
Coefficient of variation (CV)15.60688576
Kurtosis11412.28096
Mean42.3282281
Median Absolute Deviation (MAD)0
Skewness90.28358134
Sum5520870.791
Variance436407.9772
MonotonicityNot monotonic
2024-11-14T14:15:29.904836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116709
 
19.8%
100 1295
 
0.2%
200 949
 
0.2%
150 694
 
0.1%
50 687
 
0.1%
300 644
 
0.1%
400 342
 
0.1%
250 303
 
0.1%
600 286
 
< 0.1%
500 284
 
< 0.1%
Other values (2388) 8237
 
1.4%
(Missing) 460110
77.9%
ValueCountFrequency (%)
0 116709
19.8%
1.308599949 11
 
< 0.1%
1.993899941 1
 
< 0.1%
2.151799917 2
 
< 0.1%
2.257800102 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
 
< 0.1%
101640 1
 
< 0.1%
64800 1
 
< 0.1%
52030 1
 
< 0.1%
51200 3
< 0.1%

V279
Real number (ℝ)

SKEWED  ZEROS 

Distinct881
Distinct (%)0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.123061057
Minimum0
Maximum880
Zeros492169
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:30.070835image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum880
Range880
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.02195039
Coefficient of variation (CV)18.71843944
Kurtosis992.6155418
Mean1.123061057
Median Absolute Deviation (MAD)0
Skewness30.23849874
Sum663199
Variance441.9223982
MonotonicityNot monotonic
2024-11-14T14:15:30.236833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 492169
83.3%
1 60474
 
10.2%
2 18826
 
3.2%
3 8016
 
1.4%
4 4030
 
0.7%
5 2103
 
0.4%
6 1235
 
0.2%
7 736
 
0.1%
8 449
 
0.1%
9 295
 
< 0.1%
Other values (871) 2195
 
0.4%
ValueCountFrequency (%)
0 492169
83.3%
1 60474
 
10.2%
2 18826
 
3.2%
3 8016
 
1.4%
4 4030
 
0.7%
ValueCountFrequency (%)
880 1
< 0.1%
879 1
< 0.1%
878 1
< 0.1%
877 1
< 0.1%
876 1
< 0.1%

V280
Real number (ℝ)

SKEWED  ZEROS 

Distinct975
Distinct (%)0.2%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.967082001
Minimum0
Maximum975
Zeros422464
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:30.396836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum975
Range975
Interquartile range (IQR)1

Descriptive statistics

Standard deviation27.85177996
Coefficient of variation (CV)14.15893183
Kurtosis668.1179634
Mean1.967082001
Median Absolute Deviation (MAD)0
Skewness24.78158913
Sum1161617
Variance775.7216471
MonotonicityNot monotonic
2024-11-14T14:15:30.581830image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 422464
71.5%
1 90882
 
15.4%
2 32870
 
5.6%
3 15309
 
2.6%
4 8340
 
1.4%
5 5173
 
0.9%
6 3411
 
0.6%
7 2324
 
0.4%
8 1618
 
0.3%
9 1219
 
0.2%
Other values (965) 6918
 
1.2%
ValueCountFrequency (%)
0 422464
71.5%
1 90882
 
15.4%
2 32870
 
5.6%
3 15309
 
2.6%
4 8340
 
1.4%
ValueCountFrequency (%)
975 1
< 0.1%
974 1
< 0.1%
973 1
< 0.1%
972 1
< 0.1%
971 1
< 0.1%

V281
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.0877830404
Minimum0
Maximum22
Zeros561201
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:30.764018image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5127478044
Coefficient of variation (CV)5.841080487
Kurtosis151.765502
Mean0.0877830404
Median Absolute Deviation (MAD)0
Skewness10.01114505
Sum51728
Variance0.2629103109
MonotonicityNot monotonic
2024-11-14T14:15:30.910034image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 561201
95.0%
1 16896
 
2.9%
2 5694
 
1.0%
3 2484
 
0.4%
4 1469
 
0.2%
5 604
 
0.1%
6 351
 
0.1%
7 225
 
< 0.1%
8 102
 
< 0.1%
10 86
 
< 0.1%
Other values (13) 159
 
< 0.1%
(Missing) 1269
 
0.2%
ValueCountFrequency (%)
0 561201
95.0%
1 16896
 
2.9%
2 5694
 
1.0%
3 2484
 
0.4%
4 1469
 
0.2%
ValueCountFrequency (%)
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%
19 1
< 0.1%
18 1
< 0.1%

V282
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)< 0.1%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.8171707075
Minimum0
Maximum32
Zeros212812
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:31.055016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum32
Range32
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9218800827
Coefficient of variation (CV)1.128136476
Kurtosis41.28132868
Mean0.8171707075
Median Absolute Deviation (MAD)0
Skewness3.831249454
Sum481535
Variance0.8498628869
MonotonicityNot monotonic
2024-11-14T14:15:31.206032image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 316455
53.6%
0 212812
36.0%
2 37537
 
6.4%
3 12243
 
2.1%
4 4976
 
0.8%
5 2525
 
0.4%
6 1130
 
0.2%
7 652
 
0.1%
8 312
 
0.1%
9 242
 
< 0.1%
Other values (23) 387
 
0.1%
(Missing) 1269
 
0.2%
ValueCountFrequency (%)
0 212812
36.0%
1 316455
53.6%
2 37537
 
6.4%
3 12243
 
2.1%
4 4976
 
0.8%
ValueCountFrequency (%)
32 1
< 0.1%
31 1
< 0.1%
30 1
< 0.1%
29 1
< 0.1%
28 1
< 0.1%

V283
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)< 0.1%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.9911144448
Minimum0
Maximum68
Zeros211499
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:31.364136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum68
Range68
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.558731076
Coefficient of variation (CV)1.572705437
Kurtosis380.1081918
Mean0.9911144448
Median Absolute Deviation (MAD)1
Skewness12.39672193
Sum584035
Variance2.429642567
MonotonicityNot monotonic
2024-11-14T14:15:31.543139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 284599
48.2%
0 211499
35.8%
2 51773
 
8.8%
3 18984
 
3.2%
4 8912
 
1.5%
5 4955
 
0.8%
6 2847
 
0.5%
7 1720
 
0.3%
8 1118
 
0.2%
9 661
 
0.1%
Other values (52) 2203
 
0.4%
(Missing) 1269
 
0.2%
ValueCountFrequency (%)
0 211499
35.8%
1 284599
48.2%
2 51773
 
8.8%
3 18984
 
3.2%
4 8912
 
1.5%
ValueCountFrequency (%)
68 39
< 0.1%
66 6
 
< 0.1%
64 1
 
< 0.1%
61 7
 
< 0.1%
58 5
 
< 0.1%

V284
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.0885427956
Minimum0
Maximum12
Zeros545552
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:31.708158image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3384235769
Coefficient of variation (CV)3.822146958
Kurtosis48.0616068
Mean0.0885427956
Median Absolute Deviation (MAD)0
Skewness5.295714406
Sum52287
Variance0.1145305174
MonotonicityNot monotonic
2024-11-14T14:15:31.844157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 545552
92.4%
1 39347
 
6.7%
2 4481
 
0.8%
3 846
 
0.1%
4 190
 
< 0.1%
5 49
 
< 0.1%
6 34
 
< 0.1%
7 15
 
< 0.1%
8 6
 
< 0.1%
9 5
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 12
 
< 0.1%
ValueCountFrequency (%)
0 545552
92.4%
1 39347
 
6.7%
2 4481
 
0.8%
3 846
 
0.1%
4 190
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 5
< 0.1%
8 6
< 0.1%

V285
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.167660128
Minimum0
Maximum95
Zeros354815
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:32.030143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum95
Range95
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.282453646
Coefficient of variation (CV)2.811137905
Kurtosis249.5814649
Mean1.167660128
Median Absolute Deviation (MAD)0
Skewness12.29026137
Sum689536
Variance10.77450194
MonotonicityNot monotonic
2024-11-14T14:15:32.198135image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 354815
60.1%
1 106275
 
18.0%
2 50008
 
8.5%
3 26969
 
4.6%
4 17739
 
3.0%
5 9923
 
1.7%
6 6596
 
1.1%
7 4390
 
0.7%
8 3130
 
0.5%
9 2329
 
0.4%
Other values (86) 8354
 
1.4%
ValueCountFrequency (%)
0 354815
60.1%
1 106275
 
18.0%
2 50008
 
8.5%
3 26969
 
4.6%
4 17739
 
3.0%
ValueCountFrequency (%)
95 2
 
< 0.1%
94 11
< 0.1%
93 13
< 0.1%
92 11
< 0.1%
91 13
< 0.1%

V286
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.03149215617
Minimum0
Maximum8
Zeros573290
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:32.348148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1909393687
Coefficient of variation (CV)6.06307703
Kurtosis92.91251443
Mean0.03149215617
Median Absolute Deviation (MAD)0
Skewness7.593328833
Sum18597
Variance0.03645784252
MonotonicityNot monotonic
2024-11-14T14:15:32.495136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 573290
97.1%
1 16122
 
2.7%
2 949
 
0.2%
3 136
 
< 0.1%
4 11
 
< 0.1%
7 8
 
< 0.1%
6 6
 
< 0.1%
5 5
 
< 0.1%
8 1
 
< 0.1%
(Missing) 12
 
< 0.1%
ValueCountFrequency (%)
0 573290
97.1%
1 16122
 
2.7%
2 949
 
0.2%
3 136
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 8
< 0.1%
6 6
< 0.1%
5 5
< 0.1%
4 11
< 0.1%

V287
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.3585791021
Minimum0
Maximum31
Zeros466863
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:32.678148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.078995112
Coefficient of variation (CV)3.009085321
Kurtosis139.8933602
Mean0.3585791021
Median Absolute Deviation (MAD)0
Skewness8.840389962
Sum211751
Variance1.164230453
MonotonicityNot monotonic
2024-11-14T14:15:32.907931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 466863
79.1%
1 83560
 
14.1%
2 22186
 
3.8%
3 8784
 
1.5%
4 4863
 
0.8%
9 1056
 
0.2%
5 989
 
0.2%
7 683
 
0.1%
6 463
 
0.1%
8 218
 
< 0.1%
Other values (22) 863
 
0.1%
ValueCountFrequency (%)
0 466863
79.1%
1 83560
 
14.1%
2 22186
 
3.8%
3 8784
 
1.5%
4 4863
 
0.8%
ValueCountFrequency (%)
31 9
< 0.1%
30 15
< 0.1%
29 9
< 0.1%
28 3
 
< 0.1%
27 7
< 0.1%

V288
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.1843498153
Minimum0
Maximum10
Zeros489641
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:33.090652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4309888303
Coefficient of variation (CV)2.337885881
Kurtosis9.997421785
Mean0.1843498153
Median Absolute Deviation (MAD)0
Skewness2.554762275
Sum108632
Variance0.1857513718
MonotonicityNot monotonic
2024-11-14T14:15:33.231658image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 489641
82.9%
1 91654
 
15.5%
2 7133
 
1.2%
3 761
 
0.1%
4 33
 
< 0.1%
5 29
 
< 0.1%
7 7
 
< 0.1%
6 5
 
< 0.1%
10 4
 
< 0.1%
8 3
 
< 0.1%
(Missing) 1269
 
0.2%
ValueCountFrequency (%)
0 489641
82.9%
1 91654
 
15.5%
2 7133
 
1.2%
3 761
 
0.1%
4 33
 
< 0.1%
ValueCountFrequency (%)
10 4
< 0.1%
9 1
 
< 0.1%
8 3
< 0.1%
7 7
< 0.1%
6 5
< 0.1%

V289
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.2359746195
Minimum0
Maximum12
Zeros487073
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:33.411655image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5992313556
Coefficient of variation (CV)2.539389011
Kurtosis18.40004889
Mean0.2359746195
Median Absolute Deviation (MAD)0
Skewness3.509880783
Sum139053
Variance0.3590782175
MonotonicityNot monotonic
2024-11-14T14:15:33.603664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 487073
82.5%
1 75947
 
12.9%
2 18920
 
3.2%
3 5076
 
0.9%
4 1736
 
0.3%
5 288
 
< 0.1%
7 82
 
< 0.1%
6 73
 
< 0.1%
8 51
 
< 0.1%
9 21
 
< 0.1%
Other values (3) 4
 
< 0.1%
(Missing) 1269
 
0.2%
ValueCountFrequency (%)
0 487073
82.5%
1 75947
 
12.9%
2 18920
 
3.2%
3 5076
 
0.9%
4 1736
 
0.3%
ValueCountFrequency (%)
12 2
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 21
< 0.1%
8 51
< 0.1%

V290
Real number (ℝ)

SKEWED 

Distinct58
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.103011204
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:33.793650image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum67
Range66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7688965922
Coefficient of variation (CV)0.6970886513
Kurtosis1814.069263
Mean1.103011204
Median Absolute Deviation (MAD)0
Skewness34.5722961
Sum651359
Variance0.5912019696
MonotonicityNot monotonic
2024-11-14T14:15:34.052656image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 551866
93.5%
2 30249
 
5.1%
3 4936
 
0.8%
4 1672
 
0.3%
5 681
 
0.1%
6 361
 
0.1%
7 206
 
< 0.1%
8 130
 
< 0.1%
9 64
 
< 0.1%
10 38
 
< 0.1%
Other values (48) 325
 
0.1%
ValueCountFrequency (%)
1 551866
93.5%
2 30249
 
5.1%
3 4936
 
0.8%
4 1672
 
0.3%
5 681
 
0.1%
ValueCountFrequency (%)
67 1
< 0.1%
66 2
< 0.1%
65 1
< 0.1%
64 1
< 0.1%
61 1
< 0.1%

V291
Real number (ℝ)

SKEWED 

Distinct219
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.65981122
Minimum1
Maximum1055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:34.329775image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum1055
Range1054
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.25253804
Coefficient of variation (CV)9.791799119
Kurtosis2579.679679
Mean1.65981122
Median Absolute Deviation (MAD)0
Skewness50.15824407
Sum980165
Variance264.1449928
MonotonicityNot monotonic
2024-11-14T14:15:34.561778image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 462929
78.4%
2 92440
 
15.7%
3 21378
 
3.6%
4 7251
 
1.2%
5 2884
 
0.5%
6 1301
 
0.2%
7 739
 
0.1%
8 412
 
0.1%
9 258
 
< 0.1%
10 145
 
< 0.1%
Other values (209) 791
 
0.1%
ValueCountFrequency (%)
1 462929
78.4%
2 92440
 
15.7%
3 21378
 
3.6%
4 7251
 
1.2%
5 2884
 
0.5%
ValueCountFrequency (%)
1055 1
< 0.1%
1052 1
< 0.1%
1050 1
< 0.1%
1049 1
< 0.1%
1048 1
< 0.1%

V292
Real number (ℝ)

SKEWED 

Distinct173
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.239915804
Minimum1
Maximum323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:34.737785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum323
Range322
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.775049707
Coefficient of variation (CV)3.044601653
Kurtosis2855.214741
Mean1.239915804
Median Absolute Deviation (MAD)0
Skewness51.22819126
Sum732205
Variance14.25100029
MonotonicityNot monotonic
2024-11-14T14:15:34.931769image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 522151
88.4%
2 52574
 
8.9%
3 9605
 
1.6%
4 3145
 
0.5%
5 1221
 
0.2%
6 596
 
0.1%
7 346
 
0.1%
8 206
 
< 0.1%
9 145
 
< 0.1%
10 83
 
< 0.1%
Other values (163) 456
 
0.1%
ValueCountFrequency (%)
1 522151
88.4%
2 52574
 
8.9%
3 9605
 
1.6%
4 3145
 
0.5%
5 1221
 
0.2%
ValueCountFrequency (%)
323 1
< 0.1%
315 1
< 0.1%
310 1
< 0.1%
309 1
< 0.1%
297 1
< 0.1%

V293
Real number (ℝ)

SKEWED  ZEROS 

Distinct870
Distinct (%)0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9425988268
Minimum0
Maximum869
Zeros546442
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:35.147769image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum869
Range869
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.5888163
Coefficient of variation (CV)21.8426076
Kurtosis1013.534588
Mean0.9425988268
Median Absolute Deviation (MAD)0
Skewness30.58233761
Sum556631
Variance423.8993565
MonotonicityNot monotonic
2024-11-14T14:15:35.375314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 546442
92.5%
1 24280
 
4.1%
2 8882
 
1.5%
3 4188
 
0.7%
4 2103
 
0.4%
5 1182
 
0.2%
6 695
 
0.1%
7 423
 
0.1%
8 255
 
< 0.1%
9 173
 
< 0.1%
Other values (860) 1905
 
0.3%
ValueCountFrequency (%)
0 546442
92.5%
1 24280
 
4.1%
2 8882
 
1.5%
3 4188
 
0.7%
4 2103
 
0.4%
ValueCountFrequency (%)
869 1
< 0.1%
868 1
< 0.1%
867 1
< 0.1%
866 1
< 0.1%
865 1
< 0.1%

V294
Real number (ℝ)

SKEWED  ZEROS 

Distinct1286
Distinct (%)0.2%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.313863187
Minimum0
Maximum1286
Zeros519413
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:35.635314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum1286
Range1286
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.52646824
Coefficient of variation (CV)17.08245693
Kurtosis609.1415047
Mean2.313863187
Median Absolute Deviation (MAD)0
Skewness23.8536542
Sum1366401
Variance1562.341691
MonotonicityNot monotonic
2024-11-14T14:15:35.836309image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 519413
88.0%
1 29582
 
5.0%
2 13719
 
2.3%
3 7490
 
1.3%
4 4576
 
0.8%
5 2817
 
0.5%
6 2014
 
0.3%
7 1519
 
0.3%
8 1102
 
0.2%
9 837
 
0.1%
Other values (1276) 7459
 
1.3%
ValueCountFrequency (%)
0 519413
88.0%
1 29582
 
5.0%
2 13719
 
2.3%
3 7490
 
1.3%
4 4576
 
0.8%
ValueCountFrequency (%)
1286 17
< 0.1%
1285 1
 
< 0.1%
1284 1
 
< 0.1%
1283 1
 
< 0.1%
1282 2
 
< 0.1%

V295
Real number (ℝ)

SKEWED  ZEROS 

Distinct928
Distinct (%)0.2%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.433423987
Minimum0
Maximum928
Zeros535074
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:36.064317image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum928
Range928
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.96294776
Coefficient of variation (CV)18.11253893
Kurtosis700.7489021
Mean1.433423987
Median Absolute Deviation (MAD)0
Skewness25.34089616
Sum846477
Variance674.0746563
MonotonicityNot monotonic
2024-11-14T14:15:36.287311image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 535074
90.6%
1 25973
 
4.4%
2 11104
 
1.9%
3 5694
 
1.0%
4 3182
 
0.5%
5 2004
 
0.3%
6 1365
 
0.2%
7 959
 
0.2%
8 702
 
0.1%
9 539
 
0.1%
Other values (918) 3932
 
0.7%
ValueCountFrequency (%)
0 535074
90.6%
1 25973
 
4.4%
2 11104
 
1.9%
3 5694
 
1.0%
4 3182
 
0.5%
ValueCountFrequency (%)
928 1
< 0.1%
927 1
< 0.1%
926 1
< 0.1%
925 1
< 0.1%
924 1
< 0.1%

V296
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)< 0.1%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.3289165766
Minimum0
Maximum93
Zeros536687
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:36.490319image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum93
Range93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2647446
Coefficient of variation (CV)9.925752704
Kurtosis392.0998584
Mean0.3289165766
Median Absolute Deviation (MAD)0
Skewness18.92910843
Sum193821
Variance10.6585573
MonotonicityNot monotonic
2024-11-14T14:15:36.652318image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 536687
90.9%
1 32376
 
5.5%
2 10099
 
1.7%
3 3586
 
0.6%
4 1620
 
0.3%
5 893
 
0.2%
71 871
 
0.1%
6 609
 
0.1%
7 336
 
0.1%
33 302
 
0.1%
Other values (84) 1892
 
0.3%
(Missing) 1269
 
0.2%
ValueCountFrequency (%)
0 536687
90.9%
1 32376
 
5.5%
2 10099
 
1.7%
3 3586
 
0.6%
4 1620
 
0.3%
ValueCountFrequency (%)
93 5
< 0.1%
92 1
 
< 0.1%
91 1
 
< 0.1%
90 1
 
< 0.1%
89 1
 
< 0.1%

V297
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.08903388154
Minimum0
Maximum12
Zeros562740
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:36.870308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6283524218
Coefficient of variation (CV)7.057452858
Kurtosis211.8445875
Mean0.08903388154
Median Absolute Deviation (MAD)0
Skewness13.27749271
Sum52577
Variance0.3948267659
MonotonicityNot monotonic
2024-11-14T14:15:37.013475image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 562740
95.3%
1 19398
 
3.3%
2 4605
 
0.8%
3 1435
 
0.2%
11 1299
 
0.2%
4 519
 
0.1%
5 240
 
< 0.1%
6 123
 
< 0.1%
7 74
 
< 0.1%
8 41
 
< 0.1%
Other values (3) 54
 
< 0.1%
ValueCountFrequency (%)
0 562740
95.3%
1 19398
 
3.3%
2 4605
 
0.8%
3 1435
 
0.2%
4 519
 
0.1%
ValueCountFrequency (%)
12 3
 
< 0.1%
11 1299
0.2%
10 20
 
< 0.1%
9 31
 
< 0.1%
8 41
 
< 0.1%

V298
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.2988291834
Minimum0
Maximum93
Zeros542892
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:37.170764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum93
Range93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.175061941
Coefficient of variation (CV)10.62500625
Kurtosis429.0994286
Mean0.2988291834
Median Absolute Deviation (MAD)0
Skewness19.89408056
Sum176467
Variance10.08101833
MonotonicityNot monotonic
2024-11-14T14:15:37.335777image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 542892
91.9%
1 29739
 
5.0%
2 9068
 
1.5%
3 3101
 
0.5%
4 1410
 
0.2%
71 871
 
0.1%
5 821
 
0.1%
6 462
 
0.1%
7 302
 
0.1%
33 290
 
< 0.1%
Other values (84) 1572
 
0.3%
ValueCountFrequency (%)
0 542892
91.9%
1 29739
 
5.0%
2 9068
 
1.5%
3 3101
 
0.5%
4 1410
 
0.2%
ValueCountFrequency (%)
93 4
< 0.1%
92 1
 
< 0.1%
91 1
 
< 0.1%
90 2
< 0.1%
89 1
 
< 0.1%

V299
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.171654858
Minimum0
Maximum49
Zeros555629
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:37.558546image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.724218383
Coefficient of variation (CV)10.04468153
Kurtosis376.9226057
Mean0.171654858
Median Absolute Deviation (MAD)0
Skewness18.68463097
Sum101367
Variance2.972929031
MonotonicityNot monotonic
2024-11-14T14:15:37.738531image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 555629
94.1%
1 23124
 
3.9%
2 6255
 
1.1%
3 2066
 
0.3%
4 858
 
0.1%
38 505
 
0.1%
34 420
 
0.1%
5 398
 
0.1%
27 286
 
< 0.1%
6 208
 
< 0.1%
Other values (40) 779
 
0.1%
ValueCountFrequency (%)
0 555629
94.1%
1 23124
 
3.9%
2 6255
 
1.1%
3 2066
 
0.3%
4 858
 
0.1%
ValueCountFrequency (%)
49 3
< 0.1%
48 1
 
< 0.1%
47 3
< 0.1%
46 2
< 0.1%
45 2
< 0.1%

V300
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.04550707569
Minimum0
Maximum11
Zeros569522
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:37.920532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2895727258
Coefficient of variation (CV)6.363246185
Kurtosis207.0140378
Mean0.04550707569
Median Absolute Deviation (MAD)0
Skewness10.8473764
Sum26816
Variance0.08385236353
MonotonicityNot monotonic
2024-11-14T14:15:38.040520image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 569522
96.4%
1 15133
 
2.6%
2 3183
 
0.5%
3 938
 
0.2%
4 285
 
< 0.1%
5 103
 
< 0.1%
6 44
 
< 0.1%
11 29
 
< 0.1%
7 17
 
< 0.1%
8 10
 
< 0.1%
Other values (2) 7
 
< 0.1%
(Missing) 1269
 
0.2%
ValueCountFrequency (%)
0 569522
96.4%
1 15133
 
2.6%
2 3183
 
0.5%
3 938
 
0.2%
4 285
 
< 0.1%
ValueCountFrequency (%)
11 29
< 0.1%
10 3
 
< 0.1%
9 4
 
< 0.1%
8 10
 
< 0.1%
7 17
< 0.1%

V301
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.05200154089
Minimum0
Maximum13
Zeros567409
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:38.163540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3183098406
Coefficient of variation (CV)6.121161703
Kurtosis190.1686961
Mean0.05200154089
Median Absolute Deviation (MAD)0
Skewness10.54280579
Sum30643
Variance0.1013211546
MonotonicityNot monotonic
2024-11-14T14:15:38.334540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 567409
96.1%
1 16292
 
2.8%
2 3778
 
0.6%
3 1141
 
0.2%
4 324
 
0.1%
5 155
 
< 0.1%
6 91
 
< 0.1%
11 30
 
< 0.1%
7 20
 
< 0.1%
8 13
 
< 0.1%
Other values (4) 18
 
< 0.1%
(Missing) 1269
 
0.2%
ValueCountFrequency (%)
0 567409
96.1%
1 16292
 
2.8%
2 3778
 
0.6%
3 1141
 
0.2%
4 324
 
0.1%
ValueCountFrequency (%)
13 2
 
< 0.1%
12 1
 
< 0.1%
11 30
< 0.1%
10 8
 
< 0.1%
9 7
 
< 0.1%

V302
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.2517611358
Minimum0
Maximum16
Zeros450191
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:38.471520image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4818885698
Coefficient of variation (CV)1.914070527
Kurtosis29.50253714
Mean0.2517611358
Median Absolute Deviation (MAD)0
Skewness2.80264854
Sum148672
Variance0.2322165937
MonotonicityNot monotonic
2024-11-14T14:15:38.625540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 450191
76.2%
1 134072
 
22.7%
2 5155
 
0.9%
3 683
 
0.1%
4 219
 
< 0.1%
5 97
 
< 0.1%
6 47
 
< 0.1%
7 23
 
< 0.1%
8 14
 
< 0.1%
15 7
 
< 0.1%
Other values (7) 20
 
< 0.1%
(Missing) 12
 
< 0.1%
ValueCountFrequency (%)
0 450191
76.2%
1 134072
 
22.7%
2 5155
 
0.9%
3 683
 
0.1%
4 219
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
15 7
< 0.1%
14 2
 
< 0.1%
13 2
 
< 0.1%
12 2
 
< 0.1%

V303
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.2831398342
Minimum0
Maximum20
Zeros449499
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:38.798520image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6236082944
Coefficient of variation (CV)2.202474605
Kurtosis63.89913417
Mean0.2831398342
Median Absolute Deviation (MAD)0
Skewness5.164687092
Sum167202
Variance0.3888873048
MonotonicityNot monotonic
2024-11-14T14:15:38.979540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 449499
76.1%
1 126757
 
21.5%
2 9113
 
1.5%
3 2332
 
0.4%
5 1375
 
0.2%
4 834
 
0.1%
6 216
 
< 0.1%
7 123
 
< 0.1%
8 86
 
< 0.1%
9 68
 
< 0.1%
Other values (11) 125
 
< 0.1%
ValueCountFrequency (%)
0 449499
76.1%
1 126757
 
21.5%
2 9113
 
1.5%
3 2332
 
0.4%
4 834
 
0.1%
ValueCountFrequency (%)
20 6
< 0.1%
19 1
 
< 0.1%
18 1
 
< 0.1%
17 2
 
< 0.1%
16 5
< 0.1%

V304
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.2642076244
Minimum0
Maximum16
Zeros449830
Zeros (%)76.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:39.146532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5282377907
Coefficient of variation (CV)1.999328339
Kurtosis29.91043957
Mean0.2642076244
Median Absolute Deviation (MAD)0
Skewness3.289510334
Sum156022
Variance0.2790351636
MonotonicityNot monotonic
2024-11-14T14:15:39.277512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 449830
76.2%
1 130542
 
22.1%
2 7212
 
1.2%
3 1601
 
0.3%
4 962
 
0.2%
5 189
 
< 0.1%
6 84
 
< 0.1%
7 40
 
< 0.1%
9 24
 
< 0.1%
8 21
 
< 0.1%
Other values (7) 23
 
< 0.1%
(Missing) 12
 
< 0.1%
ValueCountFrequency (%)
0 449830
76.2%
1 130542
 
22.1%
2 7212
 
1.2%
3 1601
 
0.3%
4 962
 
0.2%
ValueCountFrequency (%)
16 1
 
< 0.1%
15 7
< 0.1%
14 2
 
< 0.1%
13 2
 
< 0.1%
12 2
 
< 0.1%

V305
Real number (ℝ)

SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.000006774
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:39.422540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00260260731
Coefficient of variation (CV)0.002602589681
Kurtosis147628.25
Mean1.000006774
Median Absolute Deviation (MAD)0
Skewness384.2261704
Sum590532
Variance6.773564808 × 10-6
MonotonicityNot monotonic
2024-11-14T14:15:39.549540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 590524
> 99.9%
2 4
 
< 0.1%
(Missing) 12
 
< 0.1%
ValueCountFrequency (%)
1 590524
> 99.9%
2 4
 
< 0.1%
ValueCountFrequency (%)
2 4
 
< 0.1%
1 590524
> 99.9%

V306
Real number (ℝ)

SKEWED  ZEROS 

Distinct16210
Distinct (%)2.7%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean139.7487132
Minimum0
Maximum108800
Zeros492169
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:39.745189image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile226
Maximum108800
Range108800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2348.849634
Coefficient of variation (CV)16.80766557
Kurtosis936.4661263
Mean139.7487132
Median Absolute Deviation (MAD)0
Skewness29.27287302
Sum82525528.08
Variance5517094.605
MonotonicityNot monotonic
2024-11-14T14:15:39.933227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 492169
83.3%
117 3838
 
0.6%
59 3768
 
0.6%
100 2194
 
0.4%
49 1996
 
0.3%
226 1664
 
0.3%
107.9499969 1595
 
0.3%
57.95000076 1568
 
0.3%
50 1467
 
0.2%
200 1370
 
0.2%
Other values (16200) 78899
 
13.4%
ValueCountFrequency (%)
0 492169
83.3%
0.2915000021 1
 
< 0.1%
0.466899991 2
 
< 0.1%
0.5830000043 2
 
< 0.1%
0.7547000051 1
 
< 0.1%
ValueCountFrequency (%)
108800 1
< 0.1%
104060 1
< 0.1%
101640 1
< 0.1%
94901 1
< 0.1%
94795 1
< 0.1%

V307
Real number (ℝ)

SKEWED  ZEROS 

Distinct37367
Distinct (%)6.3%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean408.6823745
Minimum0
Maximum145765
Zeros316650
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:40.091227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3151.3806801
95-th percentile935.6300079
Maximum145765
Range145765
Interquartile range (IQR)151.3806801

Descriptive statistics

Standard deviation4391.992977
Coefficient of variation (CV)10.74671493
Kurtosis620.1006741
Mean408.6823745
Median Absolute Deviation (MAD)0
Skewness23.66791398
Sum241338385.3
Variance19289602.31
MonotonicityNot monotonic
2024-11-14T14:15:40.256227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 316650
53.6%
107.9499969 6360
 
1.1%
57.95000076 5672
 
1.0%
59 5418
 
0.9%
117 5247
 
0.9%
100 3307
 
0.6%
49 2687
 
0.5%
50 2291
 
0.4%
226 2280
 
0.4%
47.95000076 2248
 
0.4%
Other values (37357) 238368
40.4%
ValueCountFrequency (%)
0 316650
53.6%
0.2915000021 1
 
< 0.1%
0.466899991 1
 
< 0.1%
0.5426999927 1
 
< 0.1%
0.5830000043 2
 
< 0.1%
ValueCountFrequency (%)
145765 1
< 0.1%
145724 1
< 0.1%
145640 1
< 0.1%
145618 1
< 0.1%
145610 2
< 0.1%

V308
Real number (ℝ)

SKEWED  ZEROS 

Distinct23064
Distinct (%)3.9%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean230.4131797
Minimum0
Maximum108800
Zeros422464
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:40.428227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q335.97000122
95-th percentile452
Maximum108800
Range108800
Interquartile range (IQR)35.97000122

Descriptive statistics

Standard deviation3021.924247
Coefficient of variation (CV)13.11524042
Kurtosis658.751789
Mean230.4131797
Median Absolute Deviation (MAD)0
Skewness24.53005041
Sum136065434.2
Variance9132026.153
MonotonicityNot monotonic
2024-11-14T14:15:40.595227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 422464
71.5%
59 5724
 
1.0%
117 5723
 
1.0%
57.95000076 3809
 
0.6%
107.9499969 3232
 
0.5%
49 2812
 
0.5%
100 2555
 
0.4%
226 2376
 
0.4%
39 1993
 
0.3%
50 1864
 
0.3%
Other values (23054) 137976
 
23.4%
ValueCountFrequency (%)
0 422464
71.5%
0.2915000021 1
 
< 0.1%
0.466899991 2
 
< 0.1%
0.5426999927 1
 
< 0.1%
0.5830000043 2
 
< 0.1%
ValueCountFrequency (%)
108800 1
< 0.1%
104060 1
< 0.1%
103440 1
< 0.1%
103384 1
< 0.1%
103328 1
< 0.1%

V309
Real number (ℝ)

SKEWED  ZEROS 

Distinct4236
Distinct (%)0.7%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.99598649
Minimum0
Maximum55125
Zeros545552
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:40.755227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile54.5
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation116.2542773
Coefficient of variation (CV)10.57242817
Kurtosis94325.71259
Mean10.99598649
Median Absolute Deviation (MAD)0
Skewness224.8752675
Sum6493437.912
Variance13515.057
MonotonicityNot monotonic
2024-11-14T14:15:40.918217image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 545552
92.4%
59 3160
 
0.5%
117 2903
 
0.5%
49 1625
 
0.3%
39 1187
 
0.2%
226 1133
 
0.2%
29 1016
 
0.2%
107.9499969 957
 
0.2%
57.95000076 954
 
0.2%
77 866
 
0.1%
Other values (4226) 31175
 
5.3%
ValueCountFrequency (%)
0 545552
92.4%
0.2915000021 4
 
< 0.1%
1 2
 
< 0.1%
1.640400052 1
 
< 0.1%
1.738399982 2
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12500 1
< 0.1%
12307.5 2
< 0.1%
11000 1
< 0.1%

V310
Real number (ℝ)

ZEROS 

Distinct19136
Distinct (%)3.2%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean118.1956581
Minimum0
Maximum55125
Zeros354815
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:41.078944image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3107.9499969
95-th percentile554
Maximum55125
Range55125
Interquartile range (IQR)107.9499969

Descriptive statistics

Standard deviation352.983093
Coefficient of variation (CV)2.986430287
Kurtosis1763.859195
Mean118.1956581
Median Absolute Deviation (MAD)0
Skewness19.49776148
Sum69797845.56
Variance124597.064
MonotonicityNot monotonic
2024-11-14T14:15:41.245935image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 354815
60.1%
107.9499969 6520
 
1.1%
59 6245
 
1.1%
117 5804
 
1.0%
57.95000076 5757
 
1.0%
49 3083
 
0.5%
226 2453
 
0.4%
47.95000076 2293
 
0.4%
39 2008
 
0.3%
35.95000076 1992
 
0.3%
Other values (19126) 199558
33.8%
ValueCountFrequency (%)
0 354815
60.1%
0.2915000021 4
 
< 0.1%
0.4839000106 2
 
< 0.1%
0.5426999927 1
 
< 0.1%
0.6873999834 1
 
< 0.1%
ValueCountFrequency (%)
55125 1
 
< 0.1%
41690 1
 
< 0.1%
30250 4
< 0.1%
19800 1
 
< 0.1%
12500 2
< 0.1%

V311
Real number (ℝ)

SKEWED  ZEROS 

Distinct3098
Distinct (%)0.5%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.202174911
Minimum0
Maximum55125
Zeros573290
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:41.411926image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation102.3749383
Coefficient of variation (CV)24.3623696
Kurtosis156542.4169
Mean4.202174911
Median Absolute Deviation (MAD)0
Skewness323.831374
Sum2481501.946
Variance10480.62799
MonotonicityNot monotonic
2024-11-14T14:15:42.494986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 573290
97.1%
59 823
 
0.1%
117 805
 
0.1%
107.9499969 611
 
0.1%
57.95000076 585
 
0.1%
49 394
 
0.1%
39 297
 
0.1%
29 286
 
< 0.1%
100 283
 
< 0.1%
226 271
 
< 0.1%
Other values (3088) 12883
 
2.2%
ValueCountFrequency (%)
0 573290
97.1%
0.2915000021 2
 
< 0.1%
1 2
 
< 0.1%
1.738399982 1
 
< 0.1%
1.860299945 1
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12500 1
< 0.1%
12307.5 1
< 0.1%
11000 1
< 0.1%

V312
Real number (ℝ)

SKEWED  ZEROS 

Distinct8068
Distinct (%)1.4%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean39.17391017
Minimum0
Maximum55125
Zeros466863
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:42.641480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile215.8999939
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation172.1283392
Coefficient of variation (CV)4.393953488
Kurtosis19675.52377
Mean39.17391017
Median Absolute Deviation (MAD)0
Skewness73.60338558
Sum23133290.82
Variance29628.16516
MonotonicityNot monotonic
2024-11-14T14:15:42.799480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 466863
79.1%
59 6301
 
1.1%
117 6102
 
1.0%
57.95000076 3472
 
0.6%
49 3085
 
0.5%
107.9499969 2827
 
0.5%
226 2406
 
0.4%
39 2233
 
0.4%
29 1820
 
0.3%
171 1591
 
0.3%
Other values (8058) 93828
 
15.9%
ValueCountFrequency (%)
0 466863
79.1%
0.2915000021 4
 
< 0.1%
0.5426999927 1
 
< 0.1%
0.8607000113 1
 
< 0.1%
1 2
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12500 2
< 0.1%
12307.5 2
< 0.1%
11000 1
< 0.1%

V313
Real number (ℝ)

ZEROS 

Distinct5529
Distinct (%)0.9%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean21.35147329
Minimum0
Maximum4817.470215
Zeros489641
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:42.971470image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile116.3207016
Maximum4817.470215
Range4817.470215
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95.90296994
Coefficient of variation (CV)4.491632435
Kurtosis322.2308187
Mean21.35147329
Median Absolute Deviation (MAD)0
Skewness14.02779569
Sum12581804.02
Variance9197.379644
MonotonicityNot monotonic
2024-11-14T14:15:43.136480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 489641
82.9%
59 6654
 
1.1%
117 5319
 
0.9%
57.95000076 3608
 
0.6%
107.9499969 3472
 
0.6%
49 3096
 
0.5%
226 2368
 
0.4%
39 2331
 
0.4%
100 2186
 
0.4%
29 1666
 
0.3%
Other values (5519) 68930
 
11.7%
ValueCountFrequency (%)
0 489641
82.9%
0.2915000021 5
 
< 0.1%
0.4839000106 2
 
< 0.1%
0.5426999927 2
 
< 0.1%
0.6873999834 1
 
< 0.1%
ValueCountFrequency (%)
4817.470215 1
 
< 0.1%
4159.899902 2
 
< 0.1%
4079.939941 6
< 0.1%
3956.199951 2
 
< 0.1%
3618.310059 1
 
< 0.1%

V314
Real number (ℝ)

ZEROS 

Distinct11377
Distinct (%)1.9%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean43.3191743
Minimum0
Maximum7519.870117
Zeros473273
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:43.295480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile234
Maximum7519.870117
Range7519.870117
Interquartile range (IQR)0

Descriptive statistics

Standard deviation173.619028
Coefficient of variation (CV)4.007902524
Kurtosis207.2483852
Mean43.3191743
Median Absolute Deviation (MAD)0
Skewness10.74892504
Sum25526733.16
Variance30143.56688
MonotonicityNot monotonic
2024-11-14T14:15:43.466480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 473273
80.1%
59 4262
 
0.7%
117 3839
 
0.7%
107.9499969 2671
 
0.5%
57.95000076 2567
 
0.4%
49 2161
 
0.4%
226 1574
 
0.3%
39 1420
 
0.2%
740 1412
 
0.2%
29 1158
 
0.2%
Other values (11367) 94934
 
16.1%
(Missing) 1269
 
0.2%
ValueCountFrequency (%)
0 473273
80.1%
0.2915000021 5
 
< 0.1%
0.4839000106 2
 
< 0.1%
0.5426999927 1
 
< 0.1%
0.6873999834 1
 
< 0.1%
ValueCountFrequency (%)
7519.870117 9
< 0.1%
6159.890137 5
< 0.1%
6039.75 2
 
< 0.1%
5565 4
< 0.1%
5304.970215 1
 
< 0.1%

V315
Real number (ℝ)

ZEROS 

Distinct6973
Distinct (%)1.2%
Missing1269
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean26.80697717
Minimum0
Maximum4817.470215
Zeros487073
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:43.642480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile141
Maximum4817.470215
Range4817.470215
Interquartile range (IQR)0

Descriptive statistics

Standard deviation116.8532218
Coefficient of variation (CV)4.359059996
Kurtosis236.0816134
Mean26.80697717
Median Absolute Deviation (MAD)0
Skewness12.11809647
Sum15796574.25
Variance13654.67545
MonotonicityNot monotonic
2024-11-14T14:15:43.812480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 487073
82.5%
59 5114
 
0.9%
117 4360
 
0.7%
107.9499969 3048
 
0.5%
57.95000076 3012
 
0.5%
49 2474
 
0.4%
100 2154
 
0.4%
226 1766
 
0.3%
39 1655
 
0.3%
29 1297
 
0.2%
Other values (6963) 77318
 
13.1%
ValueCountFrequency (%)
0 487073
82.5%
0.2915000021 5
 
< 0.1%
0.4839000106 2
 
< 0.1%
0.5426999927 1
 
< 0.1%
0.6873999834 1
 
< 0.1%
ValueCountFrequency (%)
4817.470215 1
 
< 0.1%
4489.850098 6
< 0.1%
4477.22998 1
 
< 0.1%
4159.899902 2
 
< 0.1%
4079.939941 6
< 0.1%

V316
Real number (ℝ)

SKEWED  ZEROS 

Distinct9814
Distinct (%)1.7%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean109.8185443
Minimum0
Maximum93736
Zeros546442
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:43.969480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile83
Maximum93736
Range93736
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2270.033202
Coefficient of variation (CV)20.67076392
Kurtosis980.7302971
Mean109.8185443
Median Absolute Deviation (MAD)0
Skewness30.09738933
Sum64850925.3
Variance5153050.737
MonotonicityNot monotonic
2024-11-14T14:15:44.156003image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 546442
92.5%
117 1727
 
0.3%
59 1504
 
0.3%
100 949
 
0.2%
49 878
 
0.1%
226 804
 
0.1%
50 678
 
0.1%
171 575
 
0.1%
150 563
 
0.1%
200 561
 
0.1%
Other values (9804) 35847
 
6.1%
ValueCountFrequency (%)
0 546442
92.5%
0.2915000021 1
 
< 0.1%
0.466899991 2
 
< 0.1%
0.5830000043 1
 
< 0.1%
0.6413000226 1
 
< 0.1%
ValueCountFrequency (%)
93736 1
< 0.1%
93630 1
< 0.1%
93524 1
< 0.1%
93418 1
< 0.1%
93312 1
< 0.1%

V317
Real number (ℝ)

SKEWED  ZEROS 

Distinct15184
Distinct (%)2.6%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean247.6067413
Minimum0
Maximum134021
Zeros519413
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:44.328073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile251
Maximum134021
Range134021
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3980.042828
Coefficient of variation (CV)16.07404874
Kurtosis662.4835293
Mean247.6067413
Median Absolute Deviation (MAD)0
Skewness24.59740756
Sum146218713.7
Variance15840740.91
MonotonicityNot monotonic
2024-11-14T14:15:44.505073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 519413
88.0%
117 2224
 
0.4%
59 1827
 
0.3%
226 1045
 
0.2%
100 1039
 
0.2%
49 963
 
0.2%
50 742
 
0.1%
171 720
 
0.1%
234 676
 
0.1%
77 663
 
0.1%
Other values (15174) 61216
 
10.4%
ValueCountFrequency (%)
0 519413
88.0%
0.2915000021 1
 
< 0.1%
0.466899991 1
 
< 0.1%
0.5830000043 1
 
< 0.1%
0.6042000055 1
 
< 0.1%
ValueCountFrequency (%)
134021 17
< 0.1%
133991 1
 
< 0.1%
133961 1
 
< 0.1%
133931 1
 
< 0.1%
133875 1
 
< 0.1%

V318
Real number (ℝ)

SKEWED  ZEROS 

Distinct12309
Distinct (%)2.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean162.1533978
Minimum0
Maximum98476
Zeros535074
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:44.675064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150
Maximum98476
Range98476
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2793.343636
Coefficient of variation (CV)17.22655013
Kurtosis707.7539176
Mean162.1533978
Median Absolute Deviation (MAD)0
Skewness25.48282882
Sum95756121.68
Variance7802768.668
MonotonicityNot monotonic
2024-11-14T14:15:44.840074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 535074
90.6%
117 1937
 
0.3%
59 1586
 
0.3%
100 991
 
0.2%
226 873
 
0.1%
49 872
 
0.1%
50 698
 
0.1%
171 626
 
0.1%
200 603
 
0.1%
150 595
 
0.1%
Other values (12299) 46673
 
7.9%
ValueCountFrequency (%)
0 535074
90.6%
0.2915000021 1
 
< 0.1%
0.466899991 2
 
< 0.1%
0.5830000043 1
 
< 0.1%
0.6413000226 1
 
< 0.1%
ValueCountFrequency (%)
98476 1
< 0.1%
98420 1
< 0.1%
98364 1
< 0.1%
98308 1
< 0.1%
98252 1
< 0.1%

V319
Real number (ℝ)

SKEWED  ZEROS 

Distinct4799
Distinct (%)0.8%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean18.37247561
Minimum0
Maximum104060
Zeros562740
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:45.003073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation332.3048479
Coefficient of variation (CV)18.08710241
Kurtosis47649.89985
Mean18.37247561
Median Absolute Deviation (MAD)0
Skewness181.8336539
Sum10849461.28
Variance110426.512
MonotonicityNot monotonic
2024-11-14T14:15:45.171073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 562740
95.3%
100 1040
 
0.2%
1165 870
 
0.1%
117 778
 
0.1%
200 747
 
0.1%
59 633
 
0.1%
150 547
 
0.1%
107.9499969 516
 
0.1%
57.95000076 512
 
0.1%
50 502
 
0.1%
Other values (4789) 21643
 
3.7%
ValueCountFrequency (%)
0 562740
95.3%
1.993899941 1
 
< 0.1%
2.151799917 1
 
< 0.1%
2.257800102 1
 
< 0.1%
2.296000004 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
< 0.1%
101640 1
< 0.1%
90750 1
< 0.1%
64800 1
< 0.1%
60500 1
< 0.1%

V320
Real number (ℝ)

SKEWED  ZEROS 

Distinct6439
Distinct (%)1.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean42.07313297
Minimum0
Maximum104060
Zeros542892
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:45.333073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile98.35209656
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation473.4993068
Coefficient of variation (CV)11.25419652
Kurtosis11714.73594
Mean42.07313297
Median Absolute Deviation (MAD)0
Skewness70.51555489
Sum24845363.07
Variance224201.5935
MonotonicityNot monotonic
2024-11-14T14:15:45.498073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 542892
91.9%
117 1298
 
0.2%
59 1256
 
0.2%
100 1172
 
0.2%
57.95000076 978
 
0.2%
107.9499969 922
 
0.2%
7226 871
 
0.1%
200 796
 
0.1%
226 788
 
0.1%
49 690
 
0.1%
Other values (6429) 38865
 
6.6%
ValueCountFrequency (%)
0 542892
91.9%
1.308599949 6
 
< 0.1%
1.993899941 1
 
< 0.1%
2.257800102 1
 
< 0.1%
2.291699886 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
< 0.1%
101640 1
< 0.1%
90750 1
< 0.1%
64800 1
< 0.1%
60500 1
< 0.1%

V321
Real number (ℝ)

SKEWED  ZEROS 

Distinct5560
Distinct (%)0.9%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.32658434
Minimum0
Maximum104060
Zeros555629
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:45.662073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile43.5
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation382.0531713
Coefficient of variation (CV)13.48744228
Kurtosis27445.33383
Mean28.32658434
Median Absolute Deviation (MAD)0
Skewness123.5564747
Sum16727641.2
Variance145964.6257
MonotonicityNot monotonic
2024-11-14T14:15:45.826073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 555629
94.1%
100 1104
 
0.2%
117 981
 
0.2%
59 881
 
0.1%
200 769
 
0.1%
57.95000076 622
 
0.1%
107.9499969 613
 
0.1%
150 585
 
0.1%
226 571
 
0.1%
50 571
 
0.1%
Other values (5550) 28202
 
4.8%
ValueCountFrequency (%)
0 555629
94.1%
1.308599949 6
 
< 0.1%
1.993899941 1
 
< 0.1%
2.151799917 1
 
< 0.1%
2.257800102 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
< 0.1%
101640 1
< 0.1%
90750 1
< 0.1%
64800 1
< 0.1%
60500 1
< 0.1%

V322
Real number (ℝ)

MISSING  ZEROS 

Distinct881
Distinct (%)1.1%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean6.220288764
Minimum0
Maximum880
Zeros65970
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:45.979073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum880
Range880
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.02256124
Coefficient of variation (CV)9.006424519
Kurtosis134.5218414
Mean6.220288764
Median Absolute Deviation (MAD)0
Skewness11.19744968
Sum512247
Variance3138.527368
MonotonicityNot monotonic
2024-11-14T14:15:46.141073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65970
 
11.2%
1 8562
 
1.4%
2 3226
 
0.5%
3 1502
 
0.3%
4 777
 
0.1%
5 350
 
0.1%
6 196
 
< 0.1%
7 123
 
< 0.1%
8 80
 
< 0.1%
9 56
 
< 0.1%
Other values (871) 1509
 
0.3%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 65970
11.2%
1 8562
 
1.4%
2 3226
 
0.5%
3 1502
 
0.3%
4 777
 
0.1%
ValueCountFrequency (%)
880 1
< 0.1%
879 1
< 0.1%
878 1
< 0.1%
877 1
< 0.1%
876 1
< 0.1%

V323
Real number (ℝ)

MISSING  ZEROS 

Distinct1411
Distinct (%)1.7%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean13.1037753
Minimum0
Maximum1411
Zeros60806
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:46.294073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum1411
Range1411
Interquartile range (IQR)1

Descriptive statistics

Standard deviation106.7398133
Coefficient of variation (CV)8.145729826
Kurtosis99.52752174
Mean13.1037753
Median Absolute Deviation (MAD)0
Skewness9.734561265
Sum1079109
Variance11393.38775
MonotonicityNot monotonic
2024-11-14T14:15:46.487601image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60806
 
10.3%
1 9407
 
1.6%
2 3857
 
0.7%
3 2027
 
0.3%
4 1235
 
0.2%
5 747
 
0.1%
6 488
 
0.1%
7 347
 
0.1%
8 262
 
< 0.1%
9 209
 
< 0.1%
Other values (1401) 2966
 
0.5%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 60806
10.3%
1 9407
 
1.6%
2 3857
 
0.7%
3 2027
 
0.3%
4 1235
 
0.2%
ValueCountFrequency (%)
1411 2
< 0.1%
1410 1
 
< 0.1%
1409 2
< 0.1%
1408 3
< 0.1%
1407 2
< 0.1%

V324
Real number (ℝ)

MISSING  ZEROS 

Distinct976
Distinct (%)1.2%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean9.184612209
Minimum0
Maximum976
Zeros62945
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:46.684921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum976
Range976
Interquartile range (IQR)0

Descriptive statistics

Standard deviation73.62789329
Coefficient of variation (CV)8.016440065
Kurtosis92.60733617
Mean9.184612209
Median Absolute Deviation (MAD)0
Skewness9.363781253
Sum756362
Variance5421.066671
MonotonicityNot monotonic
2024-11-14T14:15:46.879911image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62945
 
10.7%
1 9152
 
1.5%
2 3782
 
0.6%
3 1931
 
0.3%
4 1133
 
0.2%
5 631
 
0.1%
6 405
 
0.1%
7 252
 
< 0.1%
8 175
 
< 0.1%
9 121
 
< 0.1%
Other values (966) 1824
 
0.3%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 62945
10.7%
1 9152
 
1.5%
2 3782
 
0.6%
3 1931
 
0.3%
4 1133
 
0.2%
ValueCountFrequency (%)
976 1
< 0.1%
975 1
< 0.1%
974 1
< 0.1%
973 1
< 0.1%
972 1
< 0.1%

V325
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.05849352163
Minimum0
Maximum12
Zeros78588
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:47.079921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3044147282
Coefficient of variation (CV)5.204246892
Kurtosis133.5542918
Mean0.05849352163
Median Absolute Deviation (MAD)0
Skewness8.357876852
Sum4817
Variance0.09266832673
MonotonicityNot monotonic
2024-11-14T14:15:47.271912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 78588
 
13.3%
1 2948
 
0.5%
2 686
 
0.1%
3 74
 
< 0.1%
4 33
 
< 0.1%
5 11
 
< 0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 78588
13.3%
1 2948
 
0.5%
2 686
 
0.1%
3 74
 
< 0.1%
4 33
 
< 0.1%
ValueCountFrequency (%)
12 1
< 0.1%
11 1
< 0.1%
10 1
< 0.1%
9 1
< 0.1%
8 1
< 0.1%

V326
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)0.1%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.8510400602
Minimum0
Maximum44
Zeros72668
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:47.525913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum44
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.950294861
Coefficient of variation (CV)4.641726102
Kurtosis35.04662179
Mean0.8510400602
Median Absolute Deviation (MAD)0
Skewness5.800059259
Sum70084
Variance15.60482949
MonotonicityNot monotonic
2024-11-14T14:15:47.738913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 72668
 
12.3%
1 4231
 
0.7%
2 1097
 
0.2%
27 954
 
0.2%
3 524
 
0.1%
18 381
 
0.1%
4 377
 
0.1%
5 249
 
< 0.1%
6 209
 
< 0.1%
7 205
 
< 0.1%
Other values (35) 1456
 
0.2%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 72668
12.3%
1 4231
 
0.7%
2 1097
 
0.2%
3 524
 
0.1%
4 377
 
0.1%
ValueCountFrequency (%)
44 2
 
< 0.1%
43 5
< 0.1%
42 8
< 0.1%
41 5
< 0.1%
40 5
< 0.1%

V327
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.2966327063
Minimum0
Maximum18
Zeros75098
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:47.902917image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.364356109
Coefficient of variation (CV)4.599479693
Kurtosis36.15882558
Mean0.2966327063
Median Absolute Deviation (MAD)0
Skewness5.862746295
Sum24428
Variance1.861467593
MonotonicityNot monotonic
2024-11-14T14:15:48.088920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 75098
 
12.7%
1 3630
 
0.6%
2 945
 
0.2%
10 692
 
0.1%
3 423
 
0.1%
7 419
 
0.1%
9 331
 
0.1%
4 264
 
< 0.1%
5 199
 
< 0.1%
8 154
 
< 0.1%
Other values (9) 196
 
< 0.1%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 75098
12.7%
1 3630
 
0.6%
2 945
 
0.2%
3 423
 
0.1%
4 264
 
< 0.1%
ValueCountFrequency (%)
18 2
< 0.1%
17 3
< 0.1%
16 1
 
< 0.1%
15 3
< 0.1%
14 2
< 0.1%

V328
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.3367900815
Minimum0
Maximum15
Zeros73464
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:48.249913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.580144434
Coefficient of variation (CV)4.691778412
Kurtosis46.73319567
Mean0.3367900815
Median Absolute Deviation (MAD)0
Skewness6.634675078
Sum27735
Variance2.496856431
MonotonicityNot monotonic
2024-11-14T14:15:48.375920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 73464
 
12.4%
1 4947
 
0.8%
2 1574
 
0.3%
11 1005
 
0.2%
3 587
 
0.1%
4 221
 
< 0.1%
15 215
 
< 0.1%
5 100
 
< 0.1%
12 72
 
< 0.1%
6 55
 
< 0.1%
Other values (6) 111
 
< 0.1%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 73464
12.4%
1 4947
 
0.8%
2 1574
 
0.3%
3 587
 
0.1%
4 221
 
< 0.1%
ValueCountFrequency (%)
15 215
 
< 0.1%
14 18
 
< 0.1%
13 4
 
< 0.1%
12 72
 
< 0.1%
11 1005
0.2%

V329
Real number (ℝ)

MISSING  ZEROS 

Distinct100
Distinct (%)0.1%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean1.312843803
Minimum0
Maximum99
Zeros72114
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:48.543920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.769083244
Coefficient of variation (CV)6.679456632
Kurtosis66.14956893
Mean1.312843803
Median Absolute Deviation (MAD)0
Skewness8.09876996
Sum108114
Variance76.89682095
MonotonicityNot monotonic
2024-11-14T14:15:48.760989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72114
 
12.2%
1 5428
 
0.9%
2 1796
 
0.3%
77 871
 
0.1%
3 725
 
0.1%
4 297
 
0.1%
38 172
 
< 0.1%
5 157
 
< 0.1%
6 105
 
< 0.1%
7 60
 
< 0.1%
Other values (90) 626
 
0.1%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 72114
12.2%
1 5428
 
0.9%
2 1796
 
0.3%
3 725
 
0.1%
4 297
 
0.1%
ValueCountFrequency (%)
99 4
< 0.1%
98 1
 
< 0.1%
97 1
 
< 0.1%
96 2
< 0.1%
95 1
 
< 0.1%

V330
Real number (ℝ)

MISSING  ZEROS 

Distinct56
Distinct (%)0.1%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean0.7758740027
Minimum0
Maximum55
Zeros72799
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:48.936989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum55
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.727971393
Coefficient of variation (CV)6.093736066
Kurtosis57.6402267
Mean0.7758740027
Median Absolute Deviation (MAD)0
Skewness7.578962827
Sum63894
Variance22.3537135
MonotonicityNot monotonic
2024-11-14T14:15:49.117989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72799
 
12.3%
1 5199
 
0.9%
2 1739
 
0.3%
3 648
 
0.1%
35 419
 
0.1%
4 242
 
< 0.1%
39 224
 
< 0.1%
32 176
 
< 0.1%
42 151
 
< 0.1%
43 132
 
< 0.1%
Other values (46) 622
 
0.1%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 72799
12.3%
1 5199
 
0.9%
2 1739
 
0.3%
3 648
 
0.1%
4 242
 
< 0.1%
ValueCountFrequency (%)
55 1
 
< 0.1%
54 3
< 0.1%
53 2
< 0.1%
52 2
< 0.1%
51 2
< 0.1%

V331
Real number (ℝ)

MISSING  ZEROS 

Distinct1758
Distinct (%)2.1%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean721.7418829
Minimum0
Maximum160000
Zeros65970
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:49.318989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile400
Maximum160000
Range160000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6217.223583
Coefficient of variation (CV)8.614192595
Kurtosis133.3023017
Mean721.7418829
Median Absolute Deviation (MAD)0
Skewness11.08895906
Sum59436165.8
Variance38653869.09
MonotonicityNot monotonic
2024-11-14T14:15:49.484990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65970
 
11.2%
100 2158
 
0.4%
200 1462
 
0.2%
50 1375
 
0.2%
150 1222
 
0.2%
300 1022
 
0.2%
25 554
 
0.1%
400 543
 
0.1%
250 496
 
0.1%
75 494
 
0.1%
Other values (1748) 7055
 
1.2%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 65970
11.2%
5 49
 
< 0.1%
6 12
 
< 0.1%
7 11
 
< 0.1%
7.5 1
 
< 0.1%
ValueCountFrequency (%)
160000 1
< 0.1%
108800 1
< 0.1%
104060 1
< 0.1%
94901 1
< 0.1%
94795 1
< 0.1%

V332
Real number (ℝ)

MISSING  ZEROS 

Distinct2453
Distinct (%)3.0%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean1375.783644
Minimum0
Maximum160000
Zeros60806
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:49.649989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325
95-th percentile600
Maximum160000
Range160000
Interquartile range (IQR)25

Descriptive statistics

Standard deviation11169.2757
Coefficient of variation (CV)8.118482692
Kurtosis100.2538128
Mean1375.783644
Median Absolute Deviation (MAD)0
Skewness9.769036859
Sum113297158.9
Variance124752719.7
MonotonicityNot monotonic
2024-11-14T14:15:49.810980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60806
 
10.3%
100 2546
 
0.4%
50 1653
 
0.3%
200 1642
 
0.3%
150 1418
 
0.2%
300 1136
 
0.2%
25 662
 
0.1%
250 626
 
0.1%
75 625
 
0.1%
400 621
 
0.1%
Other values (2443) 10616
 
1.8%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 60806
10.3%
1.480000019 1
 
< 0.1%
5 26
 
< 0.1%
6 4
 
< 0.1%
7 6
 
< 0.1%
ValueCountFrequency (%)
160000 1
< 0.1%
146358 1
< 0.1%
146317 1
< 0.1%
146233 1
< 0.1%
146211 1
< 0.1%

V333
Real number (ℝ)

MISSING  ZEROS 

Distinct1971
Distinct (%)2.4%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean1014.622782
Minimum0
Maximum160000
Zeros62945
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:49.971989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile500
Maximum160000
Range160000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7955.735482
Coefficient of variation (CV)7.841077124
Kurtosis93.79598448
Mean1014.622782
Median Absolute Deviation (MAD)0
Skewness9.399688576
Sum83555200.68
Variance63293727.06
MonotonicityNot monotonic
2024-11-14T14:15:50.134990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62945
 
10.7%
100 2378
 
0.4%
200 1576
 
0.3%
50 1560
 
0.3%
150 1327
 
0.2%
300 1087
 
0.2%
25 651
 
0.1%
400 602
 
0.1%
75 578
 
0.1%
250 563
 
0.1%
Other values (1961) 9084
 
1.5%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 62945
10.7%
5 33
 
< 0.1%
6 10
 
< 0.1%
7 13
 
< 0.1%
7.5 11
 
< 0.1%
ValueCountFrequency (%)
160000 1
< 0.1%
108800 1
< 0.1%
104060 1
< 0.1%
103495 1
< 0.1%
103439 1
< 0.1%

V334
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct143
Distinct (%)0.2%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean9.807015094
Minimum0
Maximum55125
Zeros78588
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:50.302989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation243.8613906
Coefficient of variation (CV)24.86601563
Kurtosis34776.33502
Mean9.807015094
Median Absolute Deviation (MAD)0
Skewness168.4728074
Sum807617.5
Variance59468.37781
MonotonicityNot monotonic
2024-11-14T14:15:50.444980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78588
 
13.3%
100 590
 
0.1%
50 385
 
0.1%
25 228
 
< 0.1%
265 193
 
< 0.1%
150 180
 
< 0.1%
20 178
 
< 0.1%
106 169
 
< 0.1%
181 146
 
< 0.1%
10 121
 
< 0.1%
Other values (133) 1573
 
0.3%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 78588
13.3%
5 41
 
< 0.1%
6 6
 
< 0.1%
7 9
 
< 0.1%
7.5 1
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12307.5 2
< 0.1%
11000 1
< 0.1%
6875 1
< 0.1%

V335
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct672
Distinct (%)0.8%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean59.16454967
Minimum0
Maximum55125
Zeros72668
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:50.590989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile200
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation387.62948
Coefficient of variation (CV)6.551718591
Kurtosis6617.347746
Mean59.16454967
Median Absolute Deviation (MAD)0
Skewness54.14242079
Sum4872259.83
Variance150256.6138
MonotonicityNot monotonic
2024-11-14T14:15:50.734989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72668
 
12.3%
2301 925
 
0.2%
100 835
 
0.1%
50 809
 
0.1%
150 426
 
0.1%
25 398
 
0.1%
1259 326
 
0.1%
200 315
 
0.1%
75 254
 
< 0.1%
30 254
 
< 0.1%
Other values (662) 5141
 
0.9%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 72668
12.3%
1.480000019 1
 
< 0.1%
5 25
 
< 0.1%
6 8
 
< 0.1%
7 8
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
41690 1
< 0.1%
12307.5 2
< 0.1%
11440 1
< 0.1%
11000 1
< 0.1%

V336
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct356
Distinct (%)0.4%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean28.53090296
Minimum0
Maximum55125
Zeros75098
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:50.930458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100
Maximum55125
Range55125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation274.5769197
Coefficient of variation (CV)9.623842612
Kurtosis21609.9688
Mean28.53090296
Median Absolute Deviation (MAD)0
Skewness118.7229631
Sum2349548.39
Variance75392.48484
MonotonicityNot monotonic
2024-11-14T14:15:51.077458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75098
 
12.7%
50 645
 
0.1%
1052 645
 
0.1%
100 604
 
0.1%
25 381
 
0.1%
619 325
 
0.1%
150 284
 
< 0.1%
942 280
 
< 0.1%
30 258
 
< 0.1%
20 258
 
< 0.1%
Other values (346) 3573
 
0.6%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 75098
12.7%
5 28
 
< 0.1%
6 6
 
< 0.1%
7 11
 
< 0.1%
7.5 11
 
< 0.1%
ValueCountFrequency (%)
55125 1
< 0.1%
30250 1
< 0.1%
12307.5 2
< 0.1%
11000 1
< 0.1%
6875 1
< 0.1%

V337
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct254
Distinct (%)0.3%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean55.35242195
Minimum0
Maximum104060
Zeros73464
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:51.273448image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile200
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation668.4868326
Coefficient of variation (CV)12.0769211
Kurtosis10178.07701
Mean55.35242195
Median Absolute Deviation (MAD)0
Skewness85.7711656
Sum4558327.3
Variance446874.6454
MonotonicityNot monotonic
2024-11-14T14:15:51.528448image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73464
 
12.4%
100 1243
 
0.2%
1165 870
 
0.1%
200 861
 
0.1%
150 661
 
0.1%
50 619
 
0.1%
300 582
 
0.1%
250 311
 
0.1%
400 280
 
< 0.1%
25 268
 
< 0.1%
Other values (244) 3192
 
0.5%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 73464
12.4%
5 16
 
< 0.1%
6 6
 
< 0.1%
7 3
 
< 0.1%
8 3
 
< 0.1%
ValueCountFrequency (%)
104060 1
 
< 0.1%
64800 1
 
< 0.1%
52030 1
 
< 0.1%
51200 3
< 0.1%
43200 1
 
< 0.1%

V338
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct380
Distinct (%)0.5%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean151.1605421
Minimum0
Maximum104060
Zeros72114
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:51.789458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile250
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1095.034387
Coefficient of variation (CV)7.244181397
Kurtosis1433.372072
Mean151.1605421
Median Absolute Deviation (MAD)0
Skewness23.64451411
Sum12448221.8
Variance1199100.308
MonotonicityNot monotonic
2024-11-14T14:15:51.998458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72114
 
12.2%
100 1370
 
0.2%
200 929
 
0.2%
7709 871
 
0.1%
50 729
 
0.1%
150 717
 
0.1%
300 626
 
0.1%
25 332
 
0.1%
250 321
 
0.1%
400 306
 
0.1%
Other values (370) 4036
 
0.7%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 72114
12.2%
5 18
 
< 0.1%
6 3
 
< 0.1%
7 2
 
< 0.1%
7.5 1
 
< 0.1%
ValueCountFrequency (%)
104060 1
 
< 0.1%
64800 1
 
< 0.1%
52030 1
 
< 0.1%
51200 3
< 0.1%
43200 1
 
< 0.1%

V339
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct334
Distinct (%)0.4%
Missing508189
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean100.7008816
Minimum0
Maximum104060
Zeros72799
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:52.193458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile225
Maximum104060
Range104060
Interquartile range (IQR)0

Descriptive statistics

Standard deviation814.9467218
Coefficient of variation (CV)8.092746647
Kurtosis4604.839457
Mean100.7008816
Median Absolute Deviation (MAD)0
Skewness48.91001564
Sum8292818.3
Variance664138.1595
MonotonicityNot monotonic
2024-11-14T14:15:52.361458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72799
 
12.3%
100 1319
 
0.2%
200 896
 
0.2%
150 702
 
0.1%
50 663
 
0.1%
300 605
 
0.1%
3657 416
 
0.1%
250 322
 
0.1%
25 294
 
< 0.1%
400 292
 
< 0.1%
Other values (324) 4043
 
0.7%
(Missing) 508189
86.1%
ValueCountFrequency (%)
0 72799
12.3%
5 19
 
< 0.1%
6 5
 
< 0.1%
7 3
 
< 0.1%
8 3
 
< 0.1%
ValueCountFrequency (%)
104060 1
 
< 0.1%
64800 1
 
< 0.1%
52030 1
 
< 0.1%
51200 3
< 0.1%
43200 1
 
< 0.1%

id_01
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)0.1%
Missing446307
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean-10.1705019
Minimum-100
Maximum0
Zeros19555
Zeros (%)3.3%
Negative124678
Negative (%)21.1%
Memory size4.5 MiB
2024-11-14T14:15:52.523458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-40
Q1-10
median-5
Q3-5
95-th percentile0
Maximum0
Range100
Interquartile range (IQR)5

Descriptive statistics

Standard deviation14.3479491
Coefficient of variation (CV)-1.4107415
Kurtosis16.69688415
Mean-10.1705019
Median Absolute Deviation (MAD)0
Skewness-3.669741908
Sum-1466922
Variance205.8636434
MonotonicityNot monotonic
2024-11-14T14:15:52.682458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5 82170
 
13.9%
0 19555
 
3.3%
-10 11257
 
1.9%
-20 11211
 
1.9%
-15 5674
 
1.0%
-25 4623
 
0.8%
-45 2143
 
0.4%
-35 1622
 
0.3%
-40 1385
 
0.2%
-100 1012
 
0.2%
Other values (67) 3581
 
0.6%
(Missing) 446307
75.6%
ValueCountFrequency (%)
-100 1012
0.2%
-99 2
 
< 0.1%
-96 3
 
< 0.1%
-95 428
0.1%
-94 1
 
< 0.1%
ValueCountFrequency (%)
0 19555
 
3.3%
-5 82170
13.9%
-6 15
 
< 0.1%
-7 10
 
< 0.1%
-8 2
 
< 0.1%

id_02
Real number (ℝ)

MISSING 

Distinct115655
Distinct (%)82.1%
Missing449668
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean174716.5847
Minimum1
Maximum999595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:52.854458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11475.2
Q167992
median125800.5
Q3228749
95-th percentile511458.7
Maximum999595
Range999594
Interquartile range (IQR)160757

Descriptive statistics

Standard deviation159651.8169
Coefficient of variation (CV)0.9137759711
Kurtosis4.014414856
Mean174716.5847
Median Absolute Deviation (MAD)70741.5
Skewness1.838788898
Sum2.461267472 × 1010
Variance2.548870263 × 1010
MonotonicityNot monotonic
2024-11-14T14:15:53.052058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1102 11
 
< 0.1%
696 10
 
< 0.1%
1116 9
 
< 0.1%
1120 9
 
< 0.1%
1141 9
 
< 0.1%
1117 9
 
< 0.1%
1083 9
 
< 0.1%
1127 8
 
< 0.1%
1304 7
 
< 0.1%
1110 7
 
< 0.1%
Other values (115645) 140784
 
23.8%
(Missing) 449668
76.1%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
30 1
< 0.1%
36 1
< 0.1%
41 1
< 0.1%
ValueCountFrequency (%)
999595 1
< 0.1%
999074 1
< 0.1%
998295 1
< 0.1%
998126 1
< 0.1%
997741 1
< 0.1%

id_03
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing524216
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean0.06018937338
Minimum-13
Maximum10
Zeros63903
Zeros (%)10.8%
Negative187
Negative (%)< 0.1%
Memory size4.5 MiB
2024-11-14T14:15:53.220556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-13
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5982313395
Coefficient of variation (CV)9.939152144
Kurtosis103.4086204
Mean0.06018937338
Median Absolute Deviation (MAD)0
Skewness-0.7823337524
Sum3992
Variance0.3578807355
MonotonicityNot monotonic
2024-11-14T14:15:53.361555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 63903
 
10.8%
1 863
 
0.1%
3 668
 
0.1%
2 421
 
0.1%
5 109
 
< 0.1%
4 100
 
< 0.1%
6 64
 
< 0.1%
-5 33
 
< 0.1%
-6 31
 
< 0.1%
-7 21
 
< 0.1%
Other values (14) 111
 
< 0.1%
(Missing) 524216
88.8%
ValueCountFrequency (%)
-13 3
 
< 0.1%
-12 3
 
< 0.1%
-11 6
 
< 0.1%
-10 17
< 0.1%
-9 6
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
9 3
 
< 0.1%
8 1
 
< 0.1%
7 4
 
< 0.1%
6 64
< 0.1%

id_04
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing524216
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean-0.05893794102
Minimum-28
Maximum0
Zeros65739
Zeros (%)11.1%
Negative585
Negative (%)0.1%
Memory size4.5 MiB
2024-11-14T14:15:53.481556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-28
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7010153041
Coefficient of variation (CV)-11.89412613
Kurtosis250.594614
Mean-0.05893794102
Median Absolute Deviation (MAD)0
Skewness-14.2898106
Sum-3909
Variance0.4914224566
MonotonicityNot monotonic
2024-11-14T14:15:53.651555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 65739
 
11.1%
-5 132
 
< 0.1%
-6 98
 
< 0.1%
-8 64
 
< 0.1%
-4 51
 
< 0.1%
-1 43
 
< 0.1%
-11 35
 
< 0.1%
-12 34
 
< 0.1%
-10 30
 
< 0.1%
-9 26
 
< 0.1%
Other values (5) 72
 
< 0.1%
(Missing) 524216
88.8%
ValueCountFrequency (%)
-28 2
 
< 0.1%
-13 24
< 0.1%
-12 34
< 0.1%
-11 35
< 0.1%
-10 30
< 0.1%
ValueCountFrequency (%)
0 65739
11.1%
-1 43
 
< 0.1%
-2 15
 
< 0.1%
-3 10
 
< 0.1%
-4 51
 
< 0.1%

id_05
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)0.1%
Missing453675
Missing (%)76.8%
Infinite0
Infinite (%)0.0%
Mean1.6155847
Minimum-72
Maximum52
Zeros92743
Zeros (%)15.7%
Negative6097
Negative (%)1.0%
Memory size4.5 MiB
2024-11-14T14:15:53.814547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-72
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum52
Range124
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.249856482
Coefficient of variation (CV)3.249508665
Kurtosis13.74917478
Mean1.6155847
Median Absolute Deviation (MAD)0
Skewness2.449479818
Sum221117
Variance27.56099309
MonotonicityNot monotonic
2024-11-14T14:15:54.001556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92743
 
15.7%
1 8293
 
1.4%
2 4937
 
0.8%
3 3854
 
0.7%
4 2941
 
0.5%
6 2338
 
0.4%
5 2312
 
0.4%
7 1475
 
0.2%
8 1266
 
0.2%
9 1066
 
0.2%
Other values (83) 15640
 
2.6%
(Missing) 453675
76.8%
ValueCountFrequency (%)
-72 5
< 0.1%
-46 1
 
< 0.1%
-44 1
 
< 0.1%
-40 3
< 0.1%
-39 1
 
< 0.1%
ValueCountFrequency (%)
52 4
< 0.1%
50 2
< 0.1%
48 1
 
< 0.1%
47 2
< 0.1%
46 2
< 0.1%

id_06
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)0.1%
Missing453675
Missing (%)76.8%
Infinite0
Infinite (%)0.0%
Mean-6.698710408
Minimum-100
Maximum0
Zeros91325
Zeros (%)15.5%
Negative45540
Negative (%)7.7%
Memory size4.5 MiB
2024-11-14T14:15:54.190555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-33
Q1-6
median0
Q30
95-th percentile0
Maximum0
Range100
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16.49110446
Coefficient of variation (CV)-2.46183272
Kurtosis17.41320128
Mean-6.698710408
Median Absolute Deviation (MAD)0
Skewness-3.903552291
Sum-916819
Variance271.9565264
MonotonicityNot monotonic
2024-11-14T14:15:54.361546image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91325
 
15.5%
-1 4687
 
0.8%
-5 3849
 
0.7%
-6 3257
 
0.6%
-9 2634
 
0.4%
-100 2431
 
0.4%
-8 1994
 
0.3%
-10 1964
 
0.3%
-11 1832
 
0.3%
-7 1453
 
0.2%
Other values (91) 21439
 
3.6%
(Missing) 453675
76.8%
ValueCountFrequency (%)
-100 2431
0.4%
-99 1
 
< 0.1%
-98 17
 
< 0.1%
-97 7
 
< 0.1%
-96 10
 
< 0.1%
ValueCountFrequency (%)
0 91325
15.5%
-1 4687
 
0.8%
-2 403
 
0.1%
-3 568
 
0.1%
-4 1277
 
0.2%

id_07
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)1.6%
Missing585385
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean13.28535403
Minimum-46
Maximum61
Zeros409
Zeros (%)0.1%
Negative347
Negative (%)0.1%
Memory size4.5 MiB
2024-11-14T14:15:54.544555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-46
5-th percentile-3
Q15
median14
Q322
95-th percentile31
Maximum61
Range107
Interquartile range (IQR)17

Descriptive statistics

Standard deviation11.38420677
Coefficient of variation (CV)0.8568990144
Kurtosis0.6719920447
Mean13.28535403
Median Absolute Deviation (MAD)9
Skewness-0.1606130065
Sum68486
Variance129.6001638
MonotonicityNot monotonic
2024-11-14T14:15:54.736549image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 409
 
0.1%
16 245
 
< 0.1%
14 228
 
< 0.1%
12 208
 
< 0.1%
15 186
 
< 0.1%
17 180
 
< 0.1%
4 178
 
< 0.1%
13 175
 
< 0.1%
5 154
 
< 0.1%
10 152
 
< 0.1%
Other values (74) 3040
 
0.5%
(Missing) 585385
99.1%
ValueCountFrequency (%)
-46 2
 
< 0.1%
-37 1
 
< 0.1%
-33 1
 
< 0.1%
-32 3
< 0.1%
-31 5
< 0.1%
ValueCountFrequency (%)
61 1
 
< 0.1%
52 1
 
< 0.1%
51 1
 
< 0.1%
49 1
 
< 0.1%
48 5
< 0.1%

id_08
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)1.8%
Missing585385
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean-38.60038797
Minimum-100
Maximum0
Zeros261
Zeros (%)< 0.1%
Negative4894
Negative (%)0.8%
Memory size4.5 MiB
2024-11-14T14:15:54.973527image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-100
Q1-48
median-34
Q3-23
95-th percentile0
Maximum0
Range100
Interquartile range (IQR)25

Descriptive statistics

Standard deviation26.08489914
Coefficient of variation (CV)-0.675767797
Kurtosis0.6770158474
Mean-38.60038797
Median Absolute Deviation (MAD)13
Skewness-1.01607953
Sum-198985
Variance680.4219634
MonotonicityNot monotonic
2024-11-14T14:15:55.177555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-100 500
 
0.1%
0 261
 
< 0.1%
-34 257
 
< 0.1%
-33 209
 
< 0.1%
-32 185
 
< 0.1%
-35 184
 
< 0.1%
-25 126
 
< 0.1%
-31 117
 
< 0.1%
-30 116
 
< 0.1%
-24 115
 
< 0.1%
Other values (84) 3085
 
0.5%
(Missing) 585385
99.1%
ValueCountFrequency (%)
-100 500
0.1%
-99 9
 
< 0.1%
-98 1
 
< 0.1%
-97 1
 
< 0.1%
-95 2
 
< 0.1%
ValueCountFrequency (%)
0 261
< 0.1%
-1 27
 
< 0.1%
-2 6
 
< 0.1%
-3 13
 
< 0.1%
-4 44
 
< 0.1%

id_09
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)0.1%
Missing515614
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean0.09102314283
Minimum-36
Maximum25
Zeros70378
Zeros (%)11.9%
Negative463
Negative (%)0.1%
Memory size4.5 MiB
2024-11-14T14:15:55.398002image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-36
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum25
Range61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9838415725
Coefficient of variation (CV)10.80869702
Kurtosis194.1095874
Mean0.09102314283
Median Absolute Deviation (MAD)0
Skewness-4.802845004
Sum6820
Variance0.9679442398
MonotonicityNot monotonic
2024-11-14T14:15:55.559009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 70378
 
11.9%
1 1616
 
0.3%
3 966
 
0.2%
2 773
 
0.1%
4 270
 
< 0.1%
5 207
 
< 0.1%
6 145
 
< 0.1%
-6 66
 
< 0.1%
-5 60
 
< 0.1%
-4 42
 
< 0.1%
Other values (36) 403
 
0.1%
(Missing) 515614
87.3%
ValueCountFrequency (%)
-36 1
 
< 0.1%
-31 3
< 0.1%
-30 1
 
< 0.1%
-26 2
< 0.1%
-24 1
 
< 0.1%
ValueCountFrequency (%)
25 1
 
< 0.1%
17 1
 
< 0.1%
16 3
< 0.1%
15 3
< 0.1%
14 1
 
< 0.1%

id_10
Real number (ℝ)

MISSING  ZEROS 

Distinct62
Distinct (%)0.1%
Missing515614
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean-0.3011237755
Minimum-100
Maximum0
Zeros72879
Zeros (%)12.3%
Negative2047
Negative (%)0.3%
Memory size4.5 MiB
2024-11-14T14:15:55.749019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.789445873
Coefficient of variation (CV)-9.263452775
Kurtosis542.6098966
Mean-0.3011237755
Median Absolute Deviation (MAD)0
Skewness-19.4824433
Sum-22562
Variance7.78100828
MonotonicityNot monotonic
2024-11-14T14:15:55.945019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72879
 
12.3%
-6 295
 
< 0.1%
-5 247
 
< 0.1%
-1 200
 
< 0.1%
-8 147
 
< 0.1%
-11 127
 
< 0.1%
-9 118
 
< 0.1%
-12 118
 
< 0.1%
-10 115
 
< 0.1%
-7 109
 
< 0.1%
Other values (52) 571
 
0.1%
(Missing) 515614
87.3%
ValueCountFrequency (%)
-100 20
< 0.1%
-68 2
 
< 0.1%
-65 1
 
< 0.1%
-64 1
 
< 0.1%
-60 4
 
< 0.1%
ValueCountFrequency (%)
0 72879
12.3%
-1 200
 
< 0.1%
-2 33
 
< 0.1%
-3 24
 
< 0.1%
-4 87
 
< 0.1%

id_11
Real number (ℝ)

MISSING 

Distinct365
Distinct (%)0.3%
Missing449562
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean99.74532471
Minimum90
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:56.112019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum90
5-th percentile97.5
Q1100
median100
Q3100
95-th percentile100
Maximum100
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.127601948
Coefficient of variation (CV)0.01130481004
Kurtosis24.54316059
Mean99.74532471
Median Absolute Deviation (MAD)0
Skewness-4.825066514
Sum14061896.39
Variance1.271486153
MonotonicityNot monotonic
2024-11-14T14:15:56.288019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 133162
 
22.5%
95.08000183 1231
 
0.2%
95.16000366 754
 
0.1%
97.12000275 440
 
0.1%
96.66999817 333
 
0.1%
95.65000153 286
 
< 0.1%
96.19000244 241
 
< 0.1%
94.29000092 228
 
< 0.1%
93.55000305 204
 
< 0.1%
96.47000122 162
 
< 0.1%
Other values (355) 3937
 
0.7%
(Missing) 449562
76.1%
ValueCountFrequency (%)
90 18
 
< 0.1%
90.09999847 4
 
< 0.1%
90.11000061 2
 
< 0.1%
90.16000366 2
 
< 0.1%
90.19999695 50
< 0.1%
ValueCountFrequency (%)
100 133162
22.5%
99.22000122 5
 
< 0.1%
99.13999939 1
 
< 0.1%
99.09999847 1
 
< 0.1%
99.04000092 1
 
< 0.1%

id_12
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing446307
Missing (%)75.6%
Memory size22.5 MiB
2024-11-14T14:15:56.439019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.558880423
Min length5

Characters and Unicode

Total characters1090240
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNotFound
2nd rowNotFound
3rd rowNotFound
4th rowNotFound
5th rowNotFound
ValueCountFrequency (%)
notfound 123025
85.3%
found 21208
 
14.7%
2024-11-14T14:15:56.715019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 267258
24.5%
F 144233
13.2%
u 144233
13.2%
n 144233
13.2%
d 144233
13.2%
N 123025
11.3%
t 123025
11.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1090240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 267258
24.5%
F 144233
13.2%
u 144233
13.2%
n 144233
13.2%
d 144233
13.2%
N 123025
11.3%
t 123025
11.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1090240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 267258
24.5%
F 144233
13.2%
u 144233
13.2%
n 144233
13.2%
d 144233
13.2%
N 123025
11.3%
t 123025
11.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1090240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 267258
24.5%
F 144233
13.2%
u 144233
13.2%
n 144233
13.2%
d 144233
13.2%
N 123025
11.3%
t 123025
11.3%

id_13
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)< 0.1%
Missing463220
Missing (%)78.4%
Infinite0
Infinite (%)0.0%
Mean48.053071
Minimum10
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:56.863126image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q149
median52
Q352
95-th percentile64
Maximum64
Range54
Interquartile range (IQR)3

Descriptive statistics

Standard deviation11.77485775
Coefficient of variation (CV)0.2450386105
Kurtosis1.265136482
Mean48.053071
Median Absolute Deviation (MAD)3
Skewness-1.255156764
Sum6118117
Variance138.6472749
MonotonicityNot monotonic
2024-11-14T14:15:57.034127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 58099
 
9.8%
49 26365
 
4.5%
64 14429
 
2.4%
33 10048
 
1.7%
27 3666
 
0.6%
20 2878
 
0.5%
14 2499
 
0.4%
63 1468
 
0.2%
19 1147
 
0.2%
25 1066
 
0.2%
Other values (44) 5655
 
1.0%
(Missing) 463220
78.4%
ValueCountFrequency (%)
10 1
 
< 0.1%
11 373
 
0.1%
12 2
 
< 0.1%
13 21
 
< 0.1%
14 2499
0.4%
ValueCountFrequency (%)
64 14429
2.4%
63 1468
 
0.2%
62 813
 
0.1%
61 108
 
< 0.1%
60 3
 
< 0.1%

id_14
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)< 0.1%
Missing510496
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean-344.5071461
Minimum-660
Maximum720
Zeros192
Zeros (%)< 0.1%
Negative79113
Negative (%)13.4%
Memory size4.5 MiB
2024-11-14T14:15:57.180135image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-660
5-th percentile-480
Q1-360
median-300
Q3-300
95-th percentile-300
Maximum720
Range1380
Interquartile range (IQR)60

Descriptive statistics

Standard deviation93.69550193
Coefficient of variation (CV)-0.2719696906
Kurtosis25.76025207
Mean-344.5071461
Median Absolute Deviation (MAD)0
Skewness2.713684376
Sum-27575730
Variance8778.847081
MonotonicityNot monotonic
2024-11-14T14:15:57.319137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-300 44121
 
7.5%
-360 16661
 
2.8%
-480 12891
 
2.2%
-420 4542
 
0.8%
-600 498
 
0.1%
60 369
 
0.1%
0 192
 
< 0.1%
-240 159
 
< 0.1%
-180 126
 
< 0.1%
-540 111
 
< 0.1%
Other values (15) 374
 
0.1%
(Missing) 510496
86.4%
ValueCountFrequency (%)
-660 2
 
< 0.1%
-600 498
 
0.1%
-540 111
 
< 0.1%
-480 12891
2.2%
-420 4542
 
0.8%
ValueCountFrequency (%)
720 9
 
< 0.1%
600 62
< 0.1%
540 64
< 0.1%
480 80
< 0.1%
420 19
 
< 0.1%

id_15
Text

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing449555
Missing (%)76.1%
Memory size22.0 MiB
2024-11-14T14:15:57.446132image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.29117282
Min length3

Characters and Unicode

Total characters604991
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNew
2nd rowNew
3rd rowFound
4th rowNew
5th rowFound
ValueCountFrequency (%)
found 67728
48.0%
new 61612
43.7%
unknown 11645
 
8.3%
2024-11-14T14:15:57.758249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 102663
17.0%
o 79373
13.1%
w 73257
12.1%
F 67728
11.2%
u 67728
11.2%
d 67728
11.2%
N 61612
10.2%
e 61612
10.2%
U 11645
 
1.9%
k 11645
 
1.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 604991
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 102663
17.0%
o 79373
13.1%
w 73257
12.1%
F 67728
11.2%
u 67728
11.2%
d 67728
11.2%
N 61612
10.2%
e 61612
10.2%
U 11645
 
1.9%
k 11645
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 604991
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 102663
17.0%
o 79373
13.1%
w 73257
12.1%
F 67728
11.2%
u 67728
11.2%
d 67728
11.2%
N 61612
10.2%
e 61612
10.2%
U 11645
 
1.9%
k 11645
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 604991
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 102663
17.0%
o 79373
13.1%
w 73257
12.1%
F 67728
11.2%
u 67728
11.2%
d 67728
11.2%
N 61612
10.2%
e 61612
10.2%
U 11645
 
1.9%
k 11645
 
1.9%

id_16
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing461200
Missing (%)78.1%
Memory size21.9 MiB
2024-11-14T14:15:57.891249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length6.461635998
Min length5

Characters and Unicode

Total characters835748
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNotFound
2nd rowNotFound
3rd rowFound
4th rowNotFound
5th rowFound
ValueCountFrequency (%)
found 66324
51.3%
notfound 63016
48.7%
2024-11-14T14:15:58.170252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 192356
23.0%
F 129340
15.5%
u 129340
15.5%
n 129340
15.5%
d 129340
15.5%
N 63016
 
7.5%
t 63016
 
7.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 835748
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 192356
23.0%
F 129340
15.5%
u 129340
15.5%
n 129340
15.5%
d 129340
15.5%
N 63016
 
7.5%
t 63016
 
7.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 835748
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 192356
23.0%
F 129340
15.5%
u 129340
15.5%
n 129340
15.5%
d 129340
15.5%
N 63016
 
7.5%
t 63016
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 835748
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 192356
23.0%
F 129340
15.5%
u 129340
15.5%
n 129340
15.5%
d 129340
15.5%
N 63016
 
7.5%
t 63016
 
7.5%

id_17
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)0.1%
Missing451171
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean189.4513773
Minimum100
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:58.320246image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile166
Q1166
median166
Q3225
95-th percentile225
Maximum229
Range129
Interquartile range (IQR)59

Descriptive statistics

Standard deviation30.37536049
Coefficient of variation (CV)0.1603332788
Kurtosis-1.346145403
Mean189.4513773
Median Absolute Deviation (MAD)0
Skewness0.1382473027
Sum26403649
Variance922.6625248
MonotonicityNot monotonic
2024-11-14T14:15:58.491243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
166 78631
 
13.3%
225 56968
 
9.6%
102 689
 
0.1%
159 352
 
0.1%
100 336
 
0.1%
121 279
 
< 0.1%
148 229
 
< 0.1%
150 126
 
< 0.1%
191 123
 
< 0.1%
142 122
 
< 0.1%
Other values (94) 1514
 
0.3%
(Missing) 451171
76.4%
ValueCountFrequency (%)
100 336
0.1%
101 9
 
< 0.1%
102 689
0.1%
105 1
 
< 0.1%
106 64
 
< 0.1%
ValueCountFrequency (%)
229 1
 
< 0.1%
228 8
 
< 0.1%
226 6
 
< 0.1%
225 56968
9.6%
220 1
 
< 0.1%

id_18
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)< 0.1%
Missing545427
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean14.23733735
Minimum10
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:58.634236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12
Q113
median15
Q315
95-th percentile15
Maximum29
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.561301528
Coefficient of variation (CV)0.1096624663
Kurtosis13.29438549
Mean14.23733735
Median Absolute Deviation (MAD)0
Skewness2.074746105
Sum642289
Variance2.437662461
MonotonicityNot monotonic
2024-11-14T14:15:58.774237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
15 25489
 
4.3%
13 13439
 
2.3%
12 4656
 
0.8%
18 650
 
0.1%
20 339
 
0.1%
17 233
 
< 0.1%
26 89
 
< 0.1%
21 78
 
< 0.1%
24 52
 
< 0.1%
11 36
 
< 0.1%
Other values (8) 52
 
< 0.1%
(Missing) 545427
92.4%
ValueCountFrequency (%)
10 1
 
< 0.1%
11 36
 
< 0.1%
12 4656
 
0.8%
13 13439
2.3%
14 3
 
< 0.1%
ValueCountFrequency (%)
29 9
 
< 0.1%
28 1
 
< 0.1%
27 32
 
< 0.1%
26 89
< 0.1%
25 1
 
< 0.1%

id_19
Real number (ℝ)

MISSING 

Distinct522
Distinct (%)0.4%
Missing451222
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean353.1281744
Minimum100
Maximum671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:58.926245image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile122
Q1266
median341
Q3427
95-th percentile609
Maximum671
Range571
Interquartile range (IQR)161

Descriptive statistics

Standard deviation141.095343
Coefficient of variation (CV)0.3995584415
Kurtosis-0.8019327154
Mean353.1281744
Median Absolute Deviation (MAD)86
Skewness0.1984655939
Sum49197111
Variance19907.89582
MonotonicityNot monotonic
2024-11-14T14:15:59.081236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266 19849
 
3.4%
410 11318
 
1.9%
427 8808
 
1.5%
529 8122
 
1.4%
312 6227
 
1.1%
100 5262
 
0.9%
542 5116
 
0.9%
215 4728
 
0.8%
153 4384
 
0.7%
417 4085
 
0.7%
Other values (512) 61419
 
10.4%
(Missing) 451222
76.4%
ValueCountFrequency (%)
100 5262
0.9%
101 2
 
< 0.1%
102 8
 
< 0.1%
103 42
 
< 0.1%
104 32
 
< 0.1%
ValueCountFrequency (%)
671 3
 
< 0.1%
670 6
 
< 0.1%
669 68
< 0.1%
668 1
 
< 0.1%
667 38
< 0.1%

id_20
Real number (ℝ)

MISSING 

Distinct394
Distinct (%)0.3%
Missing451279
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean403.8826664
Minimum100
Maximum661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:59.230248image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile153
Q1256
median472
Q3533
95-th percentile600
Maximum661
Range561
Interquartile range (IQR)277

Descriptive statistics

Standard deviation152.1603272
Coefficient of variation (CV)0.376743891
Kurtosis-1.32456966
Mean403.8826664
Median Absolute Deviation (MAD)125
Skewness-0.3187260583
Sum56245104
Variance23152.76518
MonotonicityNot monotonic
2024-11-14T14:15:59.382248image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
507 22311
 
3.8%
222 11065
 
1.9%
325 8133
 
1.4%
533 6611
 
1.1%
214 5664
 
1.0%
549 5643
 
1.0%
600 5563
 
0.9%
563 4711
 
0.8%
333 3691
 
0.6%
595 3478
 
0.6%
Other values (384) 62391
 
10.6%
(Missing) 451279
76.4%
ValueCountFrequency (%)
100 612
0.1%
101 1
 
< 0.1%
102 2
 
< 0.1%
103 42
 
< 0.1%
104 9
 
< 0.1%
ValueCountFrequency (%)
661 1
 
< 0.1%
660 17
< 0.1%
659 1
 
< 0.1%
657 6
 
< 0.1%
656 2
 
< 0.1%

id_21
Real number (ℝ)

MISSING 

Distinct490
Distinct (%)9.5%
Missing585381
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean368.2698197
Minimum100
Maximum854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:15:59.569239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile228
Q1252
median252
Q3486.5
95-th percentile815.1
Maximum854
Range754
Interquartile range (IQR)234.5

Descriptive statistics

Standard deviation198.8470385
Coefficient of variation (CV)0.5399493193
Kurtosis0.09457805894
Mean368.2698197
Median Absolute Deviation (MAD)3
Skewness1.242632472
Sum1899904
Variance39540.14471
MonotonicityNot monotonic
2024-11-14T14:15:59.820355image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
252 2542
 
0.4%
228 239
 
< 0.1%
255 109
 
< 0.1%
596 103
 
< 0.1%
576 101
 
< 0.1%
849 88
 
< 0.1%
277 86
 
< 0.1%
755 65
 
< 0.1%
848 58
 
< 0.1%
668 53
 
< 0.1%
Other values (480) 1715
 
0.3%
(Missing) 585381
99.1%
ValueCountFrequency (%)
100 4
 
< 0.1%
101 16
< 0.1%
102 1
 
< 0.1%
105 1
 
< 0.1%
106 2
 
< 0.1%
ValueCountFrequency (%)
854 18
 
< 0.1%
853 4
 
< 0.1%
851 2
 
< 0.1%
849 88
< 0.1%
848 58
< 0.1%

id_22
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)0.5%
Missing585371
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean16.00270845
Minimum10
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:16:00.022254image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14
Q114
median14
Q314
95-th percentile41
Maximum44
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.897664753
Coefficient of variation (CV)0.4310310828
Kurtosis8.603965046
Mean16.00270845
Median Absolute Deviation (MAD)0
Skewness3.231575531
Sum82718
Variance47.57777904
MonotonicityNot monotonic
2024-11-14T14:16:00.227247image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
14 4736
 
0.8%
41 321
 
0.1%
33 38
 
< 0.1%
21 7
 
< 0.1%
17 7
 
< 0.1%
39 6
 
< 0.1%
35 5
 
< 0.1%
31 5
 
< 0.1%
12 5
 
< 0.1%
36 5
 
< 0.1%
Other values (15) 34
 
< 0.1%
(Missing) 585371
99.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
12 5
 
< 0.1%
14 4736
0.8%
17 7
 
< 0.1%
18 1
 
< 0.1%
ValueCountFrequency (%)
44 1
 
< 0.1%
43 1
 
< 0.1%
42 3
 
< 0.1%
41 321
0.1%
40 1
 
< 0.1%

id_23
Text

MISSING 

Distinct3
Distinct (%)0.1%
Missing585371
Missing (%)99.1%
Memory size18.2 MiB
2024-11-14T14:16:00.432253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length18.9965177
Min length15

Characters and Unicode

Total characters98193
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIP_PROXY:TRANSPARENT
2nd rowIP_PROXY:TRANSPARENT
3rd rowIP_PROXY:ANONYMOUS
4th rowIP_PROXY:ANONYMOUS
5th rowIP_PROXY:ANONYMOUS
ValueCountFrequency (%)
ip_proxy:transparent 3489
67.5%
ip_proxy:anonymous 1071
 
20.7%
ip_proxy:hidden 609
 
11.8%
2024-11-14T14:16:00.817927image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 13827
14.1%
R 12147
12.4%
N 9729
9.9%
A 8049
8.2%
O 7311
7.4%
T 6978
 
7.1%
Y 6240
 
6.4%
I 5778
 
5.9%
: 5169
 
5.3%
X 5169
 
5.3%
Other values (7) 17796
18.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 98193
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
P 13827
14.1%
R 12147
12.4%
N 9729
9.9%
A 8049
8.2%
O 7311
7.4%
T 6978
 
7.1%
Y 6240
 
6.4%
I 5778
 
5.9%
: 5169
 
5.3%
X 5169
 
5.3%
Other values (7) 17796
18.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 98193
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
P 13827
14.1%
R 12147
12.4%
N 9729
9.9%
A 8049
8.2%
O 7311
7.4%
T 6978
 
7.1%
Y 6240
 
6.4%
I 5778
 
5.9%
: 5169
 
5.3%
X 5169
 
5.3%
Other values (7) 17796
18.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 98193
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
P 13827
14.1%
R 12147
12.4%
N 9729
9.9%
A 8049
8.2%
O 7311
7.4%
T 6978
 
7.1%
Y 6240
 
6.4%
I 5778
 
5.9%
: 5169
 
5.3%
X 5169
 
5.3%
Other values (7) 17796
18.1%

id_24
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)0.3%
Missing585793
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean12.8009269
Minimum11
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:16:00.949548image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q111
median11
Q315
95-th percentile16
Maximum26
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.372446658
Coefficient of variation (CV)0.1853339743
Kurtosis2.816538642
Mean12.8009269
Median Absolute Deviation (MAD)0
Skewness1.29386362
Sum60766
Variance5.628503144
MonotonicityNot monotonic
2024-11-14T14:16:01.099552image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
11 2817
 
0.5%
15 1594
 
0.3%
16 220
 
< 0.1%
18 37
 
< 0.1%
21 33
 
< 0.1%
24 12
 
< 0.1%
17 9
 
< 0.1%
26 8
 
< 0.1%
25 7
 
< 0.1%
19 5
 
< 0.1%
Other values (2) 5
 
< 0.1%
(Missing) 585793
99.2%
ValueCountFrequency (%)
11 2817
0.5%
12 4
 
< 0.1%
15 1594
0.3%
16 220
 
< 0.1%
17 9
 
< 0.1%
ValueCountFrequency (%)
26 8
 
< 0.1%
25 7
 
< 0.1%
24 12
 
< 0.1%
23 1
 
< 0.1%
21 33
< 0.1%

id_25
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)6.6%
Missing585408
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean329.6089244
Minimum100
Maximum548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:16:01.320547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile144
Q1321
median321
Q3371
95-th percentile509
Maximum548
Range448
Interquartile range (IQR)50

Descriptive statistics

Standard deviation97.4610888
Coefficient of variation (CV)0.2956870448
Kurtosis0.005612779653
Mean329.6089244
Median Absolute Deviation (MAD)18.5
Skewness0.04591363111
Sum1691553
Variance9498.66383
MonotonicityNot monotonic
2024-11-14T14:16:01.519555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321 2494
 
0.4%
205 301
 
0.1%
426 236
 
< 0.1%
501 103
 
< 0.1%
371 83
 
< 0.1%
524 78
 
< 0.1%
442 77
 
< 0.1%
509 65
 
< 0.1%
123 53
 
< 0.1%
126 51
 
< 0.1%
Other values (331) 1591
 
0.3%
(Missing) 585408
99.1%
ValueCountFrequency (%)
100 7
< 0.1%
101 1
 
< 0.1%
102 3
< 0.1%
103 4
< 0.1%
104 5
< 0.1%
ValueCountFrequency (%)
548 8
< 0.1%
545 16
< 0.1%
544 3
 
< 0.1%
543 1
 
< 0.1%
542 1
 
< 0.1%

id_26
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)1.8%
Missing585377
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean149.070308
Minimum100
Maximum216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:16:01.703551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile100
Q1119
median149
Q3169
95-th percentile199
Maximum216
Range116
Interquartile range (IQR)50

Descriptive statistics

Standard deviation32.10199468
Coefficient of variation (CV)0.2153480134
Kurtosis-0.8630661962
Mean149.070308
Median Absolute Deviation (MAD)28
Skewness0.007327939567
Sum769650
Variance1030.538062
MonotonicityNot monotonic
2024-11-14T14:16:01.929554image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161 824
 
0.1%
184 582
 
0.1%
142 528
 
0.1%
102 451
 
0.1%
100 433
 
0.1%
119 375
 
0.1%
169 365
 
0.1%
147 233
 
< 0.1%
215 142
 
< 0.1%
121 114
 
< 0.1%
Other values (85) 1116
 
0.2%
(Missing) 585377
99.1%
ValueCountFrequency (%)
100 433
0.1%
101 1
 
< 0.1%
102 451
0.1%
103 4
 
< 0.1%
106 21
 
< 0.1%
ValueCountFrequency (%)
216 56
 
< 0.1%
215 142
< 0.1%
214 1
 
< 0.1%
212 12
 
< 0.1%
211 3
 
< 0.1%

id_27
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing585371
Missing (%)99.1%
Memory size18.2 MiB
2024-11-14T14:16:02.103116image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.008125363
Min length5

Characters and Unicode

Total characters25887
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFound
2nd rowFound
3rd rowFound
4th rowFound
5th rowFound
ValueCountFrequency (%)
found 5155
99.7%
notfound 14
 
0.3%
2024-11-14T14:16:02.421113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 5183
20.0%
F 5169
20.0%
u 5169
20.0%
n 5169
20.0%
d 5169
20.0%
N 14
 
0.1%
t 14
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 25887
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 5183
20.0%
F 5169
20.0%
u 5169
20.0%
n 5169
20.0%
d 5169
20.0%
N 14
 
0.1%
t 14
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 25887
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 5183
20.0%
F 5169
20.0%
u 5169
20.0%
n 5169
20.0%
d 5169
20.0%
N 14
 
0.1%
t 14
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 25887
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 5183
20.0%
F 5169
20.0%
u 5169
20.0%
n 5169
20.0%
d 5169
20.0%
N 14
 
0.1%
t 14
 
0.1%

id_28
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing449562
Missing (%)76.1%
Memory size21.9 MiB
2024-11-14T14:16:02.537136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.081473705
Min length3

Characters and Unicode

Total characters575398
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNew
2nd rowNew
3rd rowFound
4th rowNew
5th rowFound
ValueCountFrequency (%)
found 76232
54.1%
new 64746
45.9%
2024-11-14T14:16:02.797129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F 76232
13.2%
o 76232
13.2%
u 76232
13.2%
n 76232
13.2%
d 76232
13.2%
N 64746
11.3%
e 64746
11.3%
w 64746
11.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 575398
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F 76232
13.2%
o 76232
13.2%
u 76232
13.2%
n 76232
13.2%
d 76232
13.2%
N 64746
11.3%
e 64746
11.3%
w 64746
11.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 575398
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F 76232
13.2%
o 76232
13.2%
u 76232
13.2%
n 76232
13.2%
d 76232
13.2%
N 64746
11.3%
e 64746
11.3%
w 64746
11.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 575398
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F 76232
13.2%
o 76232
13.2%
u 76232
13.2%
n 76232
13.2%
d 76232
13.2%
N 64746
11.3%
e 64746
11.3%
w 64746
11.3%

id_29
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing449562
Missing (%)76.1%
Memory size22.2 MiB
2024-11-14T14:16:02.925112image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length6.405581013
Min length5

Characters and Unicode

Total characters903046
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNotFound
2nd rowNotFound
3rd rowFound
4th rowNotFound
5th rowFound
ValueCountFrequency (%)
found 74926
53.1%
notfound 66052
46.9%
2024-11-14T14:16:03.203114image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 207030
22.9%
F 140978
15.6%
u 140978
15.6%
n 140978
15.6%
d 140978
15.6%
N 66052
 
7.3%
t 66052
 
7.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 903046
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 207030
22.9%
F 140978
15.6%
u 140978
15.6%
n 140978
15.6%
d 140978
15.6%
N 66052
 
7.3%
t 66052
 
7.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 903046
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 207030
22.9%
F 140978
15.6%
u 140978
15.6%
n 140978
15.6%
d 140978
15.6%
N 66052
 
7.3%
t 66052
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 903046
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 207030
22.9%
F 140978
15.6%
u 140978
15.6%
n 140978
15.6%
d 140978
15.6%
N 66052
 
7.3%
t 66052
 
7.3%

id_30
Text

MISSING 

Distinct75
Distinct (%)0.1%
Missing512975
Missing (%)86.9%
Memory size20.7 MiB
2024-11-14T14:16:03.427118image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length10.80335203
Min length3

Characters and Unicode

Total characters837962
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowAndroid 7.0
2nd rowiOS 11.1.2
3rd rowMac OS X 10_11_6
4th rowWindows 10
5th rowAndroid
ValueCountFrequency (%)
windows 36739
20.5%
10 21155
11.8%
ios 19782
11.1%
mac 13580
 
7.6%
x 13277
 
7.4%
os 13277
 
7.4%
7 13110
 
7.3%
android 6303
 
3.5%
11.2.1 3722
 
2.1%
11.1.2 3699
 
2.1%
Other values (67) 34220
19.1%
2024-11-14T14:16:03.808120image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101299
 
12.1%
1 100882
 
12.0%
i 64206
 
7.7%
d 49345
 
5.9%
. 49333
 
5.9%
0 48184
 
5.8%
n 44188
 
5.3%
o 43057
 
5.1%
s 36985
 
4.4%
W 36739
 
4.4%
Other values (27) 263744
31.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 837962
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
101299
 
12.1%
1 100882
 
12.0%
i 64206
 
7.7%
d 49345
 
5.9%
. 49333
 
5.9%
0 48184
 
5.8%
n 44188
 
5.3%
o 43057
 
5.1%
s 36985
 
4.4%
W 36739
 
4.4%
Other values (27) 263744
31.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 837962
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
101299
 
12.1%
1 100882
 
12.0%
i 64206
 
7.7%
d 49345
 
5.9%
. 49333
 
5.9%
0 48184
 
5.8%
n 44188
 
5.3%
o 43057
 
5.1%
s 36985
 
4.4%
W 36739
 
4.4%
Other values (27) 263744
31.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 837962
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
101299
 
12.1%
1 100882
 
12.0%
i 64206
 
7.7%
d 49345
 
5.9%
. 49333
 
5.9%
0 48184
 
5.8%
n 44188
 
5.3%
o 43057
 
5.1%
s 36985
 
4.4%
W 36739
 
4.4%
Other values (27) 263744
31.5%

id_31
Text

MISSING 

Distinct130
Distinct (%)0.1%
Missing450258
Missing (%)76.2%
Memory size23.4 MiB
2024-11-14T14:16:04.019125image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length15.39229552
Min length2

Characters and Unicode

Total characters2159262
Distinct characters56
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)< 0.1%

Sample

1st rowsamsung browser 6.2
2nd rowmobile safari 11.0
3rd rowchrome 62.0
4th rowchrome 62.0
5th rowchrome 62.0
ValueCountFrequency (%)
chrome 76059
20.5%
safari 37281
10.0%
for 31103
 
8.4%
mobile 28380
 
7.6%
63.0 28028
 
7.5%
generic 26003
 
7.0%
11.0 23650
 
6.4%
android 21245
 
5.7%
65.0 10286
 
2.8%
64.0 10230
 
2.8%
Other values (80) 79452
21.4%
2024-11-14T14:16:04.426016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231435
 
10.7%
r 204148
 
9.5%
e 199890
 
9.3%
o 176961
 
8.2%
i 131300
 
6.1%
0 114405
 
5.3%
. 112127
 
5.2%
m 106707
 
4.9%
c 102461
 
4.7%
a 99523
 
4.6%
Other values (46) 680305
31.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2159262
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
231435
 
10.7%
r 204148
 
9.5%
e 199890
 
9.3%
o 176961
 
8.2%
i 131300
 
6.1%
0 114405
 
5.3%
. 112127
 
5.2%
m 106707
 
4.9%
c 102461
 
4.7%
a 99523
 
4.6%
Other values (46) 680305
31.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2159262
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
231435
 
10.7%
r 204148
 
9.5%
e 199890
 
9.3%
o 176961
 
8.2%
i 131300
 
6.1%
0 114405
 
5.3%
. 112127
 
5.2%
m 106707
 
4.9%
c 102461
 
4.7%
a 99523
 
4.6%
Other values (46) 680305
31.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2159262
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
231435
 
10.7%
r 204148
 
9.5%
e 199890
 
9.3%
o 176961
 
8.2%
i 131300
 
6.1%
0 114405
 
5.3%
. 112127
 
5.2%
m 106707
 
4.9%
c 102461
 
4.7%
a 99523
 
4.6%
Other values (46) 680305
31.5%

id_32
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing512954
Missing (%)86.9%
Infinite0
Infinite (%)0.0%
Mean26.50859691
Minimum0
Maximum32
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size4.5 MiB
2024-11-14T14:16:04.543191image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q124
median24
Q332
95-th percentile32
Maximum32
Range32
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.737502025
Coefficient of variation (CV)0.1409920728
Kurtosis-1.132898938
Mean26.50859691
Median Absolute Deviation (MAD)0
Skewness0.7410398099
Sum2056696
Variance13.96892139
MonotonicityNot monotonic
2024-11-14T14:16:04.649201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
24 53071
 
9.0%
32 24428
 
4.1%
16 81
 
< 0.1%
0 6
 
< 0.1%
(Missing) 512954
86.9%
ValueCountFrequency (%)
0 6
 
< 0.1%
16 81
 
< 0.1%
24 53071
9.0%
32 24428
4.1%
ValueCountFrequency (%)
32 24428
4.1%
24 53071
9.0%
16 81
 
< 0.1%
0 6
 
< 0.1%

id_33
Text

MISSING 

Distinct260
Distinct (%)0.4%
Missing517251
Missing (%)87.6%
Memory size20.4 MiB
2024-11-14T14:16:04.947207image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.575857223
Min length3

Characters and Unicode

Total characters628516
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)0.1%

Sample

1st row2220x1080
2nd row1334x750
3rd row1280x800
4th row1366x768
5th row1920x1080
ValueCountFrequency (%)
1920x1080 16874
23.0%
1366x768 8605
11.7%
1334x750 6447
 
8.8%
2208x1242 4900
 
6.7%
1440x900 4384
 
6.0%
1600x900 3510
 
4.8%
2048x1536 3482
 
4.8%
1280x800 2149
 
2.9%
2560x1600 2093
 
2.9%
2560x1440 1865
 
2.5%
Other values (250) 18980
25.9%
2024-11-14T14:16:05.409195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 144096
22.9%
1 100598
16.0%
x 73289
11.7%
2 70799
11.3%
8 53941
 
8.6%
6 50925
 
8.1%
4 37220
 
5.9%
3 31309
 
5.0%
9 27135
 
4.3%
5 19933
 
3.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 628516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 144096
22.9%
1 100598
16.0%
x 73289
11.7%
2 70799
11.3%
8 53941
 
8.6%
6 50925
 
8.1%
4 37220
 
5.9%
3 31309
 
5.0%
9 27135
 
4.3%
5 19933
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 628516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 144096
22.9%
1 100598
16.0%
x 73289
11.7%
2 70799
11.3%
8 53941
 
8.6%
6 50925
 
8.1%
4 37220
 
5.9%
3 31309
 
5.0%
9 27135
 
4.3%
5 19933
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 628516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 144096
22.9%
1 100598
16.0%
x 73289
11.7%
2 70799
11.3%
8 53941
 
8.6%
6 50925
 
8.1%
4 37220
 
5.9%
3 31309
 
5.0%
9 27135
 
4.3%
5 19933
 
3.2%

id_34
Text

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing512735
Missing (%)86.8%
Memory size20.9 MiB
2024-11-14T14:16:05.571200image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length14.00003856
Min length14

Characters and Unicode

Total characters1089273
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmatch_status:2
2nd rowmatch_status:1
3rd rowmatch_status:2
4th rowmatch_status:2
5th rowmatch_status:2
ValueCountFrequency (%)
match_status:2 60011
77.1%
match_status:1 17376
 
22.3%
match_status:0 415
 
0.5%
match_status:-1 3
 
< 0.1%
2024-11-14T14:16:05.862203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 233415
21.4%
a 155610
14.3%
s 155610
14.3%
m 77805
 
7.1%
c 77805
 
7.1%
h 77805
 
7.1%
_ 77805
 
7.1%
u 77805
 
7.1%
: 77805
 
7.1%
2 60011
 
5.5%
Other values (3) 17797
 
1.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1089273
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
t 233415
21.4%
a 155610
14.3%
s 155610
14.3%
m 77805
 
7.1%
c 77805
 
7.1%
h 77805
 
7.1%
_ 77805
 
7.1%
u 77805
 
7.1%
: 77805
 
7.1%
2 60011
 
5.5%
Other values (3) 17797
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1089273
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
t 233415
21.4%
a 155610
14.3%
s 155610
14.3%
m 77805
 
7.1%
c 77805
 
7.1%
h 77805
 
7.1%
_ 77805
 
7.1%
u 77805
 
7.1%
: 77805
 
7.1%
2 60011
 
5.5%
Other values (3) 17797
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1089273
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
t 233415
21.4%
a 155610
14.3%
s 155610
14.3%
m 77805
 
7.1%
c 77805
 
7.1%
h 77805
 
7.1%
_ 77805
 
7.1%
u 77805
 
7.1%
: 77805
 
7.1%
2 60011
 
5.5%
Other values (3) 17797
 
1.6%

id_35
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing449555
Missing (%)76.1%
Memory size21.5 MiB
2024-11-14T14:16:05.937198image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters140985
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowT
3rd rowF
4th rowF
5th rowT
ValueCountFrequency (%)
t 77814
55.2%
f 63171
44.8%
2024-11-14T14:16:06.147192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 77814
55.2%
F 63171
44.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 77814
55.2%
F 63171
44.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 77814
55.2%
F 63171
44.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 77814
55.2%
F 63171
44.8%

id_36
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing449555
Missing (%)76.1%
Memory size21.5 MiB
2024-11-14T14:16:06.226208image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters140985
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowF
3rd rowF
4th rowF
5th rowF
ValueCountFrequency (%)
f 134066
95.1%
t 6919
 
4.9%
2024-11-14T14:16:06.473087image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F 134066
95.1%
T 6919
 
4.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F 134066
95.1%
T 6919
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F 134066
95.1%
T 6919
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F 134066
95.1%
T 6919
 
4.9%

id_37
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing449555
Missing (%)76.1%
Memory size21.5 MiB
2024-11-14T14:16:06.557741image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters140985
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowF
3rd rowT
4th rowT
5th rowT
ValueCountFrequency (%)
t 110452
78.3%
f 30533
 
21.7%
2024-11-14T14:16:06.754762image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 110452
78.3%
F 30533
 
21.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 110452
78.3%
F 30533
 
21.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 110452
78.3%
F 30533
 
21.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 110452
78.3%
F 30533
 
21.7%

id_38
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing449555
Missing (%)76.1%
Memory size21.5 MiB
2024-11-14T14:16:06.830732image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters140985
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT
2nd rowT
3rd rowT
4th rowT
5th rowT
ValueCountFrequency (%)
f 73922
52.4%
t 67063
47.6%
2024-11-14T14:16:07.040733image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F 73922
52.4%
T 67063
47.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
F 73922
52.4%
T 67063
47.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
F 73922
52.4%
T 67063
47.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 140985
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
F 73922
52.4%
T 67063
47.6%

DeviceType
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing449730
Missing (%)76.2%
Memory size22.3 MiB
2024-11-14T14:16:07.162166image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.604822101
Min length6

Characters and Unicode

Total characters930025
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmobile
2nd rowmobile
3rd rowdesktop
4th rowdesktop
5th rowdesktop
ValueCountFrequency (%)
desktop 85165
60.5%
mobile 55645
39.5%
2024-11-14T14:16:07.437920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 140810
15.1%
o 140810
15.1%
d 85165
9.2%
s 85165
9.2%
k 85165
9.2%
t 85165
9.2%
p 85165
9.2%
m 55645
 
6.0%
b 55645
 
6.0%
i 55645
 
6.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 930025
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 140810
15.1%
o 140810
15.1%
d 85165
9.2%
s 85165
9.2%
k 85165
9.2%
t 85165
9.2%
p 85165
9.2%
m 55645
 
6.0%
b 55645
 
6.0%
i 55645
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 930025
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 140810
15.1%
o 140810
15.1%
d 85165
9.2%
s 85165
9.2%
k 85165
9.2%
t 85165
9.2%
p 85165
9.2%
m 55645
 
6.0%
b 55645
 
6.0%
i 55645
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 930025
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 140810
15.1%
o 140810
15.1%
d 85165
9.2%
s 85165
9.2%
k 85165
9.2%
t 85165
9.2%
p 85165
9.2%
m 55645
 
6.0%
b 55645
 
6.0%
i 55645
 
6.0%

DeviceInfo
Text

MISSING 

Distinct1786
Distinct (%)1.5%
Missing471874
Missing (%)79.9%
Memory size22.1 MiB
2024-11-14T14:16:07.698942image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length11.06379249
Min length1

Characters and Unicode

Total characters1312896
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique440 ?
Unique (%)0.4%

Sample

1st rowSAMSUNG SM-G892A Build/NRD90M
2nd rowiOS Device
3rd rowWindows
4th rowMacOS
5th rowWindows
ValueCountFrequency (%)
windows 47775
27.4%
device 19782
 
11.3%
ios 19782
 
11.3%
macos 12573
 
7.2%
trident/7.0 7440
 
4.3%
build/nrd90m 5917
 
3.4%
moto 2743
 
1.6%
samsung 2302
 
1.3%
rv:11.0 1901
 
1.1%
build/mmb29k 1874
 
1.1%
Other values (1614) 52345
30.0%
2024-11-14T14:16:08.131928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 121342
 
9.2%
d 80075
 
6.1%
n 56263
 
4.3%
55768
 
4.2%
M 55710
 
4.2%
o 54605
 
4.2%
S 53237
 
4.1%
W 51572
 
3.9%
e 50192
 
3.8%
s 49870
 
3.8%
Other values (61) 684262
52.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1312896
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 121342
 
9.2%
d 80075
 
6.1%
n 56263
 
4.3%
55768
 
4.2%
M 55710
 
4.2%
o 54605
 
4.2%
S 53237
 
4.1%
W 51572
 
3.9%
e 50192
 
3.8%
s 49870
 
3.8%
Other values (61) 684262
52.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1312896
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 121342
 
9.2%
d 80075
 
6.1%
n 56263
 
4.3%
55768
 
4.2%
M 55710
 
4.2%
o 54605
 
4.2%
S 53237
 
4.1%
W 51572
 
3.9%
e 50192
 
3.8%
s 49870
 
3.8%
Other values (61) 684262
52.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1312896
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 121342
 
9.2%
d 80075
 
6.1%
n 56263
 
4.3%
55768
 
4.2%
M 55710
 
4.2%
o 54605
 
4.2%
S 53237
 
4.1%
W 51572
 
3.9%
e 50192
 
3.8%
s 49870
 
3.8%
Other values (61) 684262
52.1%